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.

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.

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 WORK:

Ripple is growing, and we're looking to hire a Sales Director based in Dubai. This is a sales quota-carrying position that is responsible for revenue generation through the direct sale of Ripple products and services to financial institutions.

WHAT YOU'LL DO:

• Act as a subject matter expert on blockchain-enabled payments, translating Ripple’s technical advantages into clear commercial value for cross-border settlement and stablecoin liquidity workflows.
• Drive the full sales lifecycle to meet and surpass assigned booking targets, ensuring Ripple’s market share expands across designated accounts.
• Generate and close high-value opportunities within the financial services sector, navigating complex institutional procurement cycles in the region.
• Own the regional roadmap by developing high-impact account plans and go-to-market tactics that penetrate top-tier financial institutions, ensuring Ripple’s cross-border and stablecoin solutions become the regional standard.
• Qualification of prospects to deep-dive needs assessments to rapidly convert complex regional opportunities into high-value, closed-won business for Ripple’s payment and liquidity solutions.
• Handle the effective and rapid movement of leads through sales process, including qualification of prospects; assessment of potential client needs; presentation of Ripple solutions; and expeditious closing of business.
• Maintain accurate and up-to-date sales pipeline forecasts daily, ensuring timely and detailed reporting of sales activities and outcomes.
• Conduct client site visits, deliver sales presentations, and perform product demonstrations to prospective clients, driving engagement and interest.
• Travel frequently across MEA to engage with customers and prospects.

WHAT YOU'LL BRING:

• Extensive experience within the Financial Services or Fintech ecosystem, with a sophisticated understanding of the regional banking landscape in the MEA.
• 8+ years of validated success in a consultative, enterprise-level sales role
• A proven track record of exceeding quotas by selling solutions to Financial Institutions
• Act as a regional subject matter expert on blockchain-enabled payments, translating Ripple’s product suite including stablecoin liquidity and digital asset custody, into high-impact value propositions for C-suite stakeholders
• Positive attitude with outstanding client relationship &leadership skills
• Demonstrated ability to balance multiple projects simultaneously and in a timely manner

The Role

We are seeking an exceptionally talented individual to join our Cross-Asset Derivatives Risk Management team as a Risk Manager. This role will focus on risk management and portfolio oversight of the firm’s Equity Derivatives, Macro EM and Delta One strategies, which include Equity vol, Fixed Income, Index Rebalance & Special situations strategies amongst others.

What you’ll do 

As a Risk Manager, you will:

• Report to the Head of Cross-Asset Derivatives Risk and partner daily with Portfolio Managers, Strats, and developers to monitor portfolios and design solutions that reduce concentration and stress risks.
• Build, implement and validate models that power both risk management and the investment process.
• Partner with our Technology organisation to enhance data infrastructure, automate risk-limit monitoring and streamline raw-data ingestion.
• Work with Portfolio Managers, providing regular and ad-hoc analytics on strategy performance, risk profiles and tail-risk scenarios.
• Collaborate with strategy COO, fellow risk managers and tech teams to build and maintain the modelling, pricing and analytics toolkit that powers our multi-strategy platform.

What you’ll bring
What you need:

• A minimum of 5 years’ relevant experience in a PM-facing role
• Strong knowledge of equity derivatives and portfolio risk management
• Knowledge of quantitative finance including risk-neutral options pricing and cross-sectional factor models
• Experience analyzing and modeling large data sets
• Strong coding skills in one or more languages such as R, Python or C++
• Experience working with relational databases such as MySQL
• Strong communication skills

We’d love if you had:

• Direct experience in Macro, Delta one and Equity Derivatives Strategy

Who we are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

#LI-DK1

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

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist

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:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies
• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions
• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.
• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.
• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
• Documentation: Maintain clear records of methodologies, data definitions, and model specifications
• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in programming languages such as Python and R
• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL
• Knowledge of data visualization tools such as Matplotlib and Seaborn
• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.
• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.
• Pro-active and flexible work mentality
• Interest in data-driven trading
• 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 Data Scientist