We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Dubai for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273390803

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.

Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.

If this sounds like you: curious, driven, and ready to build, we’d love to meet you

Apply now and join the next generation of Builders!

About Tamara's Builders Program 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role

We’re looking for a fresh graduate or early-career Associate Data Scientist on a builder path.

This role blends product thinking, applied statistics, and production-minded analytics. You will:

• turn ambiguous problems into measurable questions
• build reliable measurement (metrics and experimentation)
• create lightweight models and decision tools that teams can use in real workflows
• partner closely with engineering, product, and risk to improve customer outcomes and business performance
• build AI-assisted decision workflows (for example, LLM-powered analysis copilots backed by a curated metrics layer, with clear guardrails and validation)

With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data generation, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, robustness, and interpretation.

Your responsibilities

• Define problems and measurement
  • Translate product or business questions into testable hypotheses and clear success metrics.
  • Build and maintain metric definitions and analysis templates so decisions are consistent and repeatable.
• Experimentation and causal thinking
  • Design, analyze, and interpret A/B tests (and quasi-experiments when randomization is not possible).
  • Partner with product and engineering to ensure correct tracking, guardrails, and experiment quality.
• Modeling for decisions (practical ML)
  • Build baseline predictive and segmentation models (for example, churn propensity, risk signals, customer clustering) with clear evaluation and limitations.
  • Focus on models that are actionable: who will use them, when, and what decision they change.
• Applied AI (LLMs) for analytics and decisioning
  • Prototype small, safe LLM use cases that improve how teams explore data (for example, natural-language Q&A over a curated dataset, summarizing experiment results, or generating investigation checklists).
  • Help define evaluation and validation approaches for AI-assisted outputs (sanity checks, golden queries, offline test sets, and human review loops).
  • Partner with platform and security stakeholders to ensure AI workflows are permissioned correctly and avoid leaking sensitive data.
• Analytics that ships
  • Create reusable, well-documented analysis assets: datasets, feature tables, notebooks, dashboards, and simple services or jobs.
  • Collaborate with data engineering to productionize reliable pipelines where needed.
• Data quality and reliability
  • Validate data inputs, monitor key metrics, and investigate anomalies.
  • Document assumptions and build sanity checks so analyses and models are trustworthy.
• Responsible use of AI tools
  • Use AI to accelerate coding, documentation, and exploration.
  • Validate AI outputs, protect sensitive data, and follow safe data handling practices.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships, capstone projects, or part-time roles count).
• Strong SQL fundamentals (joins, aggregations, window functions).
• One programming language for data (preferably Python) with basic skills in:
  • Data manipulation (tables/dataframes)
  • Statistics fundamentals (distributions, sampling intuition, confidence basics)
  • Basic modeling (regression/classification basics and evaluation intuition)
• Strong analytical thinking:
  • Ability to define a problem, validate data, and explain results clearly.
• Strong attention to detail and commitment to accurate, reliable outputs.
• Ability to work effectively in a team-oriented environment.

Nice to have

• Exposure to experimentation platforms or frameworks (for example Statsig, Optimizely, internal experimentation tooling).
• Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.
• Exposure to ML tooling (scikit-learn, notebooks, basic MLOps concepts) and version control (Git).
• Familiarity with LLM concepts (prompting basics, retrieval/RAG intuition, and evaluation approaches) through coursework or side projects.
• Understanding of product analytics concepts (funnels, cohorts, retention) and causal pitfalls (selection bias, confounding).
• Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and sanity-check checklists).
• Knowledge of responsible data handling (PII basics, access controls, safe sharing).

What success looks like

• You can independently deliver an end-to-end analysis with clear assumptions, validation steps, and a concrete recommendation.
• You help ship at least one decision tool (experiment, metric framework, or lightweight model) that changes a product or business decision.
• Stakeholders can run repeatable analyses with less back-and-forth, and your work reduces ambiguity in key metrics.
• You can spot when results look off, debug quickly, and explain the root cause.

About Us

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.

Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

Your Role

We are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.

You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.

Your Responsibilities

Model Deployment & Scaling

• Productionise risk and fraud models developed by the DS team using robust, efficient, and maintainable architectures
• Design low-latency, high-availability APIs and pipelines for real-time model inference.
• Implement batch scoring systems for periodic risk assessments.=

MLOps & Infrastructure

• Build and maintain CI/CD pipelines for model deployment and monitoring.
• Set up automated feature engineering pipelines, leveraging feature stores.
• Ensure model governance: reproducibility, versioning, auditability, and compliance with regulatory requirements.

Model Monitoring & Maintenance

• Implement real-time and batch monitoring for data drift, concept drift, and model performance.
• Build automated retraining workflows and model rollback mechanisms.

Collaboration with Risk DS

• Work closely with risk data scientists to translate experimental code (Python, notebooks) into production-grade services.
• Advise DS on efficient model architectures for operational environments.
• Optimize feature computation for speed and scalability.

System Design & Integration

• Integrate models with credit underwriting, fraud detection, collections, and merchant risk systems.
• Collaborate with backend engineering to align on API contracts and system interfaces.

Your Expertise

• 6+ years of experience as an MLE, ML Engineer, Mlops Developer.
• Strong Python skills (including Pandas, NumPy, scikit-learn, PySpark, FastAPI/Flask).
• Proficiency in distributed computing frameworks (Spark, Ray) and workflow orchestration tools (Airflow, Prefect).
• Experience with MLOps tools (MLflow, SageMaker, Vertex AI, or similar).
• Strong understanding of model deployment in cloud environments (AWS/GCP/Azure).
• Solid knowledge of microservice architecture, containerization (Docker), and orchestration (Kubernetes).
• Proven track record of deploying and maintaining ML models in production at scale.
• Experience in building and integrating with real-time streaming systems (Kafka, Kinesis, Pub/Sub).

All qualified individuals are encouraged to apply.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across the UAE and the broader region. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from the UAE.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the MEA market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the MEA market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in Arabic and English preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

The role 

We are seeking a Channel Partner Manger to lead engagement and growth with our most strategic partners in the Systems Integrator (SI), Managed Service Provider (MSP) and Value-Added Reseller (VAR) segments. This senior-level role will work hand-in-hand with the Head of Channel and Head of the Region to develop and execute strategies that position Nebius as the partner of choice for these key segments.

The ideal candidate will bring extensive experience managing and scaling relationships with SIs, MSPs, and VARs, a strategic mindset and the ability to drive impactful partner enablement programs. This is a high-impact role, offering the opportunity to shape Nebius’ partner ecosystem and contribute to the company’s long-term growth.

You are welcome to work remotely anywhere in Dubai or Abu Dhabi

Your responsibilities will include: 

• Strategic partner engagement: Build and deepen relationships with top SIs, MSPs and VARs, ensuring alignment with Nebius’ strategic goals and objectives.
• Partner enablement: Design, develop and execute partner enablement programs that equip partners to successfully position and sell Nebius’ GPU IaaS solutions.
• Collaboration with leadership: Work closely with Head of Channel and Head of the Region to align on strategic priorities, partner initiatives and business growth opportunities.
• Contract negotiation and execution: Partner with team members to negotiate agreements, finalize contracts and ensure smooth implementation of sales enablement initiatives.
• Business development: Identify new partnership opportunities within the SI, MSP and VAR segments, driving incremental revenue growth.
• Sales alignment: Collaborate with sales teams to ensure seamless integration of partner activities into the broader sales strategy, tracking progress against key metrics.
• Performance analysis: Monitor and analyze partner performance, providing actionable insights to refine programs and maximize impact.
• Travel: within MEA: up to 25%, outside MEA: 5-10%. Weekly to monthly, with more frequent travel if the role supports a large geographic region or high-touch partners.

We expect you to have: 

• A minimum of 7-10 years of channel management experience, with a proven track record of working with enterprise-level partners in the SI, MSP, and VAR sectors. Experience working with enterprise customers to scale and drive adoption of cloud-based solutions is essential.
• Strong, existing relationships with key SIs, ISVs, and MSPs who have a track record of serving enterprise customers. You should be able to leverage this network to accelerate the growth of Nebius' partner ecosystem.
• Strong technical knowledge of cloud-based solutions, with experience enabling partners to sell complex products (preferably GPU IaaS or similar cloud infrastructure solutions) to enterprise customers.
• Demonstrated experience in working with enterprise sales teams and marketing functions to co-create sales strategies, develop marketing materials, and execute joint initiatives that resonate with large-scale enterprise customers.
• Ability to develop high-level strategic plans for enterprise channel growth while also diving into the tactical aspects of partner enablement, contract negotiations, and performance tracking.
• Experience selling, enabling, and supporting enterprise solutions, particularly in cloud, IaaS, and GPU-based offerings. Comfort in understanding and articulating the technical value of solutions to both technical and business stakeholders within enterprise accounts.
• Demonstrated success in driving revenue growth and scaling partner ecosystems in an enterprise context.
• Ability to present Nebius effectively on presentations, with senior leadership, technical teams, and enterprise partners, ensuring clear and actionable messaging around Nebius’ offerings.

The role 

Nebius is hiring for a driven Account Executive - Middle East & Africa MEA marketplace. Targeting AI workloads across a set of industries and AI-native new logos and existing customers. Based in MEA you will manage strategic client relationships, uncover new business opportunities, work with partners and lead the end-to-end sales process—from initial engagement to closing. Your ability to understand complex business needs, craft tailored solutions, and thrive in a fast-moving, innovative environment will be key to your success. This role requires a solid blend of consultative selling, strategic thinking, and execution excellence to help clients unlock the full value of our platform.

Our Sales team offers a fantastic opportunity to join a collaborative and supportive environment, where teamwork is just as valued as individual goals. You’ll have the chance to work with cutting-edge technology, while benefiting from a competitive commission structure. Working side-by-side with seasoned technology sales professionals, you’ll gain valuable experience in a dynamic environment and receive excellent opportunities for career growth and business development.

You are welcome to work remotely from Saudi Arabia, Abu Dhabi or Dubai.

Your responsibilities will include: 

• Demonstrate a deep understanding of Nebius and the value to our customers
• Own and grow your territory: maintain and deliver against a strategic plan for region/territory
• Client Engagement: Development deep relationships with key stakeholder across the enterprise, position our AI and cloud solutions to address client-specific challenges.
• Solution Selling: demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations and presentations.
• Negotiation & Closing: Lead contract negotiations with C-suit executives, securing deals that meet revenue targets and contributing to long-term partnerships.
• Regional Representations: Represent Nebius AI at regional industry events, webinars and customer meetings
• Market Knowledge: Stay updated on industry trends, emerging technologies and competitive landscapes to position our solutions effectively.
• Orchestrate the deal team (SE’s, Industry, Partners, CS) to deliver differentiated value proposals and business cases.
• Forecast with accuracy; progress deals through salesforce sales process and deliver against AC /Activity targets.

We expect you to have: 

• Proven Experience: 8+ years of experience in B2B sales, particularly in AI, cloud, or data infrastructure, with a clear hunter track record.
• Passion and desire to work in a startup culture, directly impacting the growth of the company
• Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies.
• Strong commercial acumen: value mapping, negotiation, multiyear deals, and execlevel storytelling.
• High energy, enthusiasm, and evidence of consistent growth vs. quota.
• CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar.
• Native fluency in local language (Arabic) as well as fluent in English.
• Ability to travel as needed.

It will be an added bonus if you have:   

• Previous experience in a high-growth, start-up environment.
• Exposure to SaaS models or cloud infrastructure sales.
• Experience selling to mid-market or enterprise-level clients.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This role is based in Saudi Arabia or Dubai, UAE, and requires candidates to be locally based in one of these locations.
Travel: 20% travel domestically and globally
Job ID: 1374

Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.

In this role, you'll help the team:

• Co-develop production-level data science projects with our customers

• Analyse and investigate various kinds of data and machine learning applications across industries and use cases

• Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support

• Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams

• Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

You might be a good fit for the role if you have:

• English - fluent, Arabics - fluent/native will be a big plus

• Curiosity and a desire to learn new topics and skills

• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public

• The ability to clearly explain complex topics to technical as well as non-technical audiences

• 2 - 10 years of experience with Python and SQL

• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)

• Familiarity with data visualisation in Python and R

• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Technical skills that may help you in the role:

• Experience with Consulting and/or Customer-facing Data Science roles

• Experience with Data Engineering or MLOps

• Experience developing WebApps in JavaScript, RShiny, or Dash

• Experience building APIs

• Experience using enterprise data science tools

• Passion for teaching or public speaking

#LI-AS2

The Role:

Ziina is looking for a Senior Data Platform Engineer to join our team. This role is an exciting opportunity to build the foundations of our data platform from the ground up — the pipelines, warehouse, and tooling that will power decision-making, analytics, and future ML/AI capabilities across the company. We're at a major inflection point in our growth, and we're looking for the right person to shape how data is ingested, modeled, and consumed at Ziina as we scale.

As part of a small, agile team, our ideal candidate is a creative problem-solver with the vision to build from the ground up and the skill to own systems end-to-end. You'll thrive in our fast-paced environment by making sound tradeoffs and focusing on high-impact solutions. We're looking for someone who is as ambitious as we are to deliver high-quality products to our users. In short, we want owners who are ready to build big things with us.

As a Senior Data Platform Engineer at Ziina you will:

• Build and maintain scalable data pipelines and processing systems that ingest data from transactional databases, object storage, and external APIs
• Design and evolve our data warehouse architecture and data models to support analytics, reporting, and ML/AI use cases
• Improve the reliability, observability, and performance of our data systems
• Implement data quality checks and monitoring to ensure trusted, accurate data across the company
• Enable self-service data access and analytics so product, engineering, and business teams can make data-driven decisions independently
• Support the foundational capabilities that will power our ML and AI use cases as they grow

To succeed in this role, you likely:

• Bring 5+ years of experience in Data Engineering, Data Platform, or Analytics Engineering
• Have strong expertise building and maintaining data pipelines with orchestration tools like Dagster, Airflow, or Prefect, and writing ETL/ELT workflows in Python
• Are proficient with modern data warehouses (Snowflake, BigQuery, or Redshift) and transformation frameworks like dbt
• Have hands-on experience ingesting data from a mix of sources — PostgreSQL, S3, external APIs — supporting both transactional and event-driven use cases
• Are familiar with data quality, observability, and monitoring practices for production data systems
• Use the latest AI tools and technologies to boost your productivity
• Are based in, or open to relocating to, the UAE

What would amaze us

• Proven experience building data platforms at fintech or other high-scale, high-reliability companies
• A track record of designing data warehouse architectures and models that scaled cleanly as the company grew
• History of building self-service analytics tooling that meaningfully expanded who in the company could work with data
• Experience enabling ML/AI workloads on top of a data platform — feature stores, ML pipelines, or serving infrastructure
• Active engagement in the data community through open source contributions, conference speaking, or technical writing

Our tech stack:

The data platform is a core investment area at Ziina. Our current stack is:

• Snowflake as our data warehouse, with dbt for data transformation and modeling
• Dagster for orchestrating data pipelines, with Python for building ETL/ELT workflows
• Data ingestion from PostgreSQL, S3, and external APIs, supporting both transactional and event-driven use cases
• Metabase for analytics and internal reporting

The broader Ziina engineering stack that the data platform integrates with:

• Typescript, Node.js and Nest.js for our main application's backend
• GraphQL Federation for our client-facing APIs and Kafka for our inter-service communication
• PostgresSQL for consistent and durable storage, Redis for quick fetching, Elasticsearch for quick searching
• AWS for hosting our cloud infrastructure and Kubernetes for orchestrating our workloads
• Terraform for IaC, GitHub Actions for CI/CD

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States. 

We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

• Developing custom AI applications
• Building custom LLMs
• Providing high-quality training data for research and government institutions building LLMs
• Developing partnerships to foster regional talent growth and AI adoption

We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.

You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well. 

Responsibilities: 

• Lead design workshops with the client to define custom AI solutions 
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications: 

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products 
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.

What you'll do

• Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
• Drive exploratory analysis to understand the ecosystem, user behavior, and identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
• Build and deploy retrieval augmented generation systems and other applications of large language models.

What you'll need

• 7-9 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
• 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
• Strong problem-solving and coding skills.
• Solid knowledge of AB testing, classic ML, and DL
• Solid understanding of recommendations, ranking, and retrieval. 
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.

About the Role

We’re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won’t just be building models, you’ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer’s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.

What You'll Do

• Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
• Inventory & Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
• Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
• Dynamic Pricing & Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
• Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
• End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.

What You'll Need

• Academic Background & Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
• Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
• Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
• Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
• Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.

What We’ll Provide You

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Team

You’ll work across the domains of Platform and Rides—two high-impact product domains at Careem—collaborating with cross-functional peers in Product, Engineering, Design, Research, and Data to shape the end-to-end customer journey. This is a unique opportunity to impact both vertical-specific and platform-wide experiences at Careem.

About the Role

As a Senior Product Manager, you’ll lead critical customer journeys that define how users interact with Careem—from booking a ride to tracking an order. Depending on business needs, you will either:

• Own the in-ride experience (Rides) including booking creation, captain discovery, and live tracking; or
  
  
• Own the multi-vertical Activities layer (Platform) which powers shared experiences like order tracking and cross-device interactions.
  
  

You’ll work at scale, balancing deep customer empathy with product intuition and technical fluency.

What You’ll Do

• Lead product strategy and execution for customer journey experiences across verticals.
  
  
• Define and continuously improve flows such as ride creation, order tracking, and delivery visibility.
  
  
• Work hands-on with designers, engineers, analysts, and researchers to craft seamless experiences.
  
  
• Own product KPIs related to engagement, retention, and journey completion.
  
  
• Drive decision-making using insights from experiments, dashboards, and qualitative feedback.
  
  
• Prioritize ruthlessly, navigate trade-offs, and deliver high-quality outcomes in a fast-moving environment.
  
  

What You’ll Need

• 9–12 years total experience, including senior-level product management experience in B2C tech.
  
  
• Exceptional communication skills—able to structure ambiguity, write clearly, and lead discussions.
  
  
• Strong product thinking with a sharp user focus.
  
  
• Ability to collaborate with engineers, interpret data, and drive complex feature sets end-to-end.
  
  
• Fluency in SQL or data analysis tools to work autonomously on performance insights.
  
  

Nice to Have

• Background in UX design or UX research.
  
  
• Experience working across multiple verticals (e.g., rides, food, groceries).
  
  
• Exposure to platform layers or shared user experiences across services.
  
  
• Interest or experience with AI/ML product use cases, though not required.
  
  

Preferred Background

We’re looking for experienced consumer product managers with a track record of building user-centric experiences in large-scale, multi-vertical platforms. Candidates should have deep experience working in high-scale B2C environments and delivering customer-facing products across complex operational domains.

About the Role

As a Staff Data Scientist I – ETA, you will own the end-to-end ETA prediction systems for Careem’s Food and Groceries verticals. This is a highly technical Individual Contributor role with full domain ownership across architecture, modeling strategy, experimentation, production deployment, and operational excellence.

You will define the long-term vision for ETA systems in high-load, latency-sensitive marketplace environments. You will design and implement multi-stage stochastic pipelines that model preparation time, assignment delay, pickup time, travel time, batching, and pooling effects delivering reliable, calibrated predictions at scale. This role requires deep expertise in time-series forecasting, deep learning, and operations research combined with strong production experience in distributed and real-time systems. You will collaborate closely with Product, Engineering, Marketplace, and Operations leaders, ensuring ETA becomes a core competitive advantage in Careem’s Everything App.

What You'll Do

1. ETA Vision & Architecture Ownership

• Define and own the long-term technical vision for ETA systems across Food and Groceries.
• Architect scalable, multi-stage pipelines.
• Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees.
• Establish modeling standards and best practices for ETA across the organization.

2. Advanced Modeling & Algorithm Development

• Develop and deploy production-grade ML systems leveraging:
• Deep learning architectures
• Time-series forecasting
• Graph-based and routing-aware models
• Operations research techniques
• Build models robust to marketplace volatility and supply-demand shifts.
• Optimize for both point accuracy and distributional correctness (confidence intervals, tail control).
• Continuously improve system performance under high traffic and low-latency constraints.

3. Production Systems & Real-Time Inference

• Design and deploy scalable real-time inference pipelines.
• Ensure model reliability, monitoring, alerting, and graceful degradation under load.
• Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks.
• Lead model lifecycle management, retraining strategies, and performance tracking in live environments.

4. Experimentation & Marketplace Impact

• Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust).
• Design and run controlled experiments to measure ETA improvements and marketplace impact.
• Drive measurable improvements in operational efficiency and user experience through data-driven insights.

5. Technical Leadership & Cross-Team Influence

• Lead cross-team architectural discussions.
• Conduct design reviews and raise the technical bar for modeling quality and system robustness.
• Mentor senior data scientists and engineers in advanced ML and modeling techniques.
• Contribute to Careem’s applied AI community through technical talks, documentation, and research initiatives.
  
  

What You'll Need

• 8+ years of experience in Applied Machine Learning or Data Science, with significant experience building large-scale production systems.
• Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field.
• Proven expertise in:
• Time-series forecasting
• Deep learning
• Stochastic modeling
• Operations research and optimization
• Strong experience building and deploying high-load, low-latency ML systems.
• Hands-on proficiency in Python, Spark and ML frameworks.
• Experience with real-time inference systems and model monitoring in production.
• Strong understanding of experimentation, A/B testing, and causal inference.
• Demonstrated ability to drive architectural decisions across teams.
• Excellent communication skills and ability to translate complex modeling trade-offs into business impact.
  
  

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Role

As a Staff Data Scientist I – Matching, you will own the end-to-end matching and dispatch architecture for Careem’s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.

This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.

What You'll Do

1. Matching & Dispatch Architecture Ownership

• Design and own the end-to-end matching and dispatch systems for Food & Groceries.
• Architect scalable assignment frameworks incorporating:
• Static and dynamic assignment
• Online matching under uncertainty
• Batch and pooling optimization
• Continuous re-optimization with dynamic events
• Establish robust optimization standards and best practices across the organization.

2. Multi-Objective Optimization & Algorithm Development

• Formulate and implement multi-objective optimization models balancing:
• Cost minimization
• SLA compliance
• Marketplace efficiency
• Develop and deploy:
• Min-cost flow and assignment models
• Graph-based optimization frameworks
• Custom solvers and OR-Tools based solutions
• Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
• Continuously refine matching quality under high-scale marketplace conditions.

3. Real-Time Systems & Production Delivery

• Build production-grade real-time matching systems using Python, Spark, and Trino.
• Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
• Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
• Lead performance monitoring, diagnostics, and system optimization.

4. Experimentation & Impact Measurement

• Define evaluation metrics aligned with marketplace and operational objectives.
• Design and run controlled experiments to quantify matching improvements.
• Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
• Ensure decisions translate into measurable improvements in efficiency and SLA performance.

What You'll Need

• 6–8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
• Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
• Strong expertise in:
• Optimization and assignment algorithms
• Graph modeling and min-cost flow problems
• Multi-objective optimization
• Dynamic and online decision systems
• Hands-on experience with OR-Tools or custom optimization solvers.
• Proficiency in Python, SQL, Spark, and distributed data systems.
• Experience building real-time or near-real-time decision systems.
• Strong understanding of experimentation and performance evaluation in marketplace systems.
• Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

Calling senior technology leaders to shape the future of engineering in the Middle East!

Are you a senior tech leader with deep roots in the Middle East, looking for a way to bring your global experience back to the region? Have you been considering a move, driven by a desire to make a lasting impact?

At Careem, our journey started with a simple purpose: to simplify and improve the lives of people in the Greater Middle East. From our beginnings as a ride-hailing service, we’ve grown into the region’s first Everything App, but our mission remains the same. We’re not just a tech company; we’re a team of builders, dreamers, and doers, working to create a better future for our region.

We’re looking to connect with senior tech professionals like you. If you’ve built and scaled complex engineering systems, platforms, or infrastructure in high-growth tech environments, we want to hear from you. Your expertise is exactly what’s needed to shape the future of engineering culture and technical foundations in the region.

We’re particularly interested in leaders who:

• Lead Internal Engineering Initiatives: Design and build scalable, secure, and maintainable systems that accelerate engineering productivity and reliability across Careem.

• Architect Scalable Solutions: Define system architecture for complex backend systems with a focus on performance, modularity, and extensibility, leveraging deep expertise in Java, Golang, and modern platforms.

• Drive Impact in Data & AI: Apply machine learning, platformization, and agentic AI innovation to unlock new capabilities and improve customer experiences at scale.

• Product Mindset & Strategic Influence: Shape roadmaps and drive technical decisions with a product-centric mindset, ensuring solutions directly impact customer and business outcomes.

• Technical Excellence & Culture: Uphold high standards in code quality, system design, testing, and operational excellence while nurturing a strong engineering culture across MENA.

• Mentorship and Knowledge Sharing: Mentor engineers across teams, foster continuous learning, and grow technical leadership capacity within the organization.

• Efficiency and Automation: Streamline workflows and reduce toil through automation in CI/CD, observability, and configuration management.

• Cross-functional Collaboration: Partner with platform, infrastructure, product, and security teams to deliver robust and aligned solutions.

• Long-term Vision & Purpose: Contribute to Careem’s mission of shaping the future of mobility, fintech, and everyday services in the region by building lasting technical foundations

This is your chance to use your skills and experience to truly make a difference. We are creating an Everything App that will have a massive positive impact on our communities. We're creating income opportunities for our Captains and simplifying daily life for our customers.

This is more than a job. It's an opportunity to lead a mission that matters.

Ready to shape the future of the Middle East?

Calling senior technology leaders to shape the future of engineering in the Middle East!

Are you a senior tech leader with deep roots in the Middle East, looking for a way to bring your global experience back to the region? Have you been considering a move, driven by a desire to make a lasting impact?

At Careem, our journey started with a simple purpose: to simplify and improve the lives of people in the Greater Middle East. From our beginnings as a ride-hailing service, we’ve grown into the region’s first Everything App, but our mission remains the same. We’re not just a tech company; we’re a team of builders, dreamers, and doers, working to create a better future for our region.

We’re looking to connect with senior tech professionals like you. If you’ve built and scaled complex engineering systems, platforms, or infrastructure in high-growth tech environments, we want to hear from you. Your expertise is exactly what’s needed to shape the future of engineering culture and technical foundations in the region.

We’re particularly interested in leaders who:

• Lead Internal Engineering Initiatives: Design and build scalable, secure, and maintainable systems that accelerate engineering productivity and reliability across Careem.

• Architect Scalable Solutions: Define system architecture for complex backend systems with a focus on performance, modularity, and extensibility, leveraging deep expertise in Java, Golang, and modern platforms.

• Drive Impact in Data & AI: Apply machine learning, platformization, and agentic AI innovation to unlock new capabilities and improve customer experiences at scale.

• Product Mindset & Strategic Influence: Shape roadmaps and drive technical decisions with a product-centric mindset, ensuring solutions directly impact customer and business outcomes.

• Technical Excellence & Culture: Uphold high standards in code quality, system design, testing, and operational excellence while nurturing a strong engineering culture across MENA.

• Mentorship and Knowledge Sharing: Mentor engineers across teams, foster continuous learning, and grow technical leadership capacity within the organization.

• Efficiency and Automation: Streamline workflows and reduce toil through automation in CI/CD, observability, and configuration management.

• Cross-functional Collaboration: Partner with platform, infrastructure, product, and security teams to deliver robust and aligned solutions.

• Long-term Vision & Purpose: Contribute to Careem’s mission of shaping the future of mobility, fintech, and everyday services in the region by building lasting technical foundations

This is your chance to use your skills and experience to truly make a difference. We are creating an Everything App that will have a massive positive impact on our communities. We're creating income opportunities for our Captains and simplifying daily life for our customers.

This is more than a job. It's an opportunity to lead a mission that matters.

Ready to shape the future of the Middle East?

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• 0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst