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

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

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

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

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

 Your future role at QRT   

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

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

Research 

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

Trading 

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

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

Your present skillset   

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

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

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

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

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

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

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

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

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

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

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

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.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

Benefits:

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)  

Annual Base Salary range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme 

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 

 Job Description  

• We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders, quantitative analysts, and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations. 

What we offer in this role   

• Competitive remuneration with rapid progression for strong performers.  
• Leadership opportunities on impactful technical initiatives.  
• Participation in the employee share scheme.  
• Internation relocation support.  
• Exposure to the commercial side of the business.  
• A highly collaborative and open working culture. 

Requirements 

• BS/BE in Computer Science, Software Engineering, or a related discipline 
• 2 to 5 years of hands-on software development experience in C#, C++ or Python 
• Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution 
• Strong understanding of database design and system architecture for low latency systems 
• Ability to lead discussions, make sound architectural decisions, and deliver results 
• Strong communication skills and a collaborative mindset 
• Resilient, self-driven and aligned with Cobblestone's values 

Responsibilities 

• Design, develop, and optimize high-performance automated trading and infrastructure systems. 
• Collaborate closely with traders, quant analysts, and infrastructure teams to deliver solutions supporting quantitative trading strategies. 
• Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. 
• Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. 
• Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. 
• Investigate and resolve complex technical issues in production systems swiftly and accurately. 
• Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. 
• Participate in regular code reviews and adhere to established coding standards and best practices. 
• Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. 
• Mentor and support junior engineers. 

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

Exciting career opportunities are on the horizon! Schonfeld will open a wide range of roles across many offices and many departments this August for the Class of 2027. Whether your passion lies in investing, technology, data, operations, or corporate functions, you’ll find dynamic positions that let you make an immediate impact and grow alongside our world-class team. Keep an eye on our careers page and be ready to apply when postings go live—you won’t want to miss the chance to build your future with us.

Our Internship

Kick-start your career in finance with the Schonfeld Internship! Over the course of 12-16 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.

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.

The annual base pay for these role is expected to be between $45,000 and $150,00 which will be prorated based on internship role,  start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

We are seeking a highly motivated and detail-oriented Real Estate Analyst in our Real Estate division to support our team in sourcing new properties across the UAE, evaluating investment opportunities, and providing strategic insights. The ideal candidate will have a strong background in market analysis (ideally commercial real estate), financial modelling, and data-driven decision-making, and must come from an engineering background.

Join one of the fastest-growing FoodTech teams in the world and help us revolutionize the food industry! We're building the infrastructure for better food in every major city of the world, and the Middle East is one of the fastest-growing markets for us.

Who we are 

KitchenPark helps restaurateurs around the world succeed in online food delivery - our goal is to make food more affordable, higher quality and convenient for everyone. 

We take underutilized properties and transform them into smart kitchens so they can better serve restaurateurs, customers and the neighborhoods they’re in. Every time we launch a new facility we create jobs in that neighborhood, and we’re proud to provide a wide range of cuisines and options for healthy food at an affordable price.

We're changing the game for restaurateurs, whether they’re entrepreneurs opening their first restaurant, all the way through to your favorite global quick-service restaurant chains. 

What you’ll do

• Source new properties and initiate contact with landlords and local authority areas across the UAE.
• Negotiate with landlords, developers,  and clear regulatory requirements to secure viable sites. 
• Conduct comprehensive market research and analysis to identify real estate trends, opportunities, and risks.
• Prepare detailed financial models, forecasts, and feasibility studies for potential investments and developments.
• Assist in the preparation of investment memorandums, presentations, and reports for stakeholders.
• Monitor and analyze key economic indicators, regulatory changes, and market dynamics impacting the real estate sector in the UAE.
• Collaborate with cross-functional teams, including finance, legal, and development, to support decision-making processes.
• Maintain and update real estate databases, ensuring data accuracy and integrity.
• Collaborate closely with other Real Estate Sourcers and the Real Estate Acquisitions Manager to align on sourcing strategy, deal prioritization, and market coverage.

What we’re looking for

• Bachelor’s degree in Economics, Finance or Engineering (Civil, Construction, Mechanical, Electrical or related field).
• Strong technical and analytical skills with the ability to evaluate properties from both a technical and commercial perspective.
• Proficiency in financial modeling, Excel, and data analysis tools.
• Excellent analytical and quantitative skills with attention to detail.
• An understanding of the commercial real estate market in the UAE 
• Excellent written and verbal communication skills in English and Arabic (essential), with the ability to present complex information clearly and concisely.
• Ability to work both independently and as part of a team in a fast-paced environment; demonstrating resilience, adaptability, and effectiveness under pressure.

What else you need to know 

This role is based in our Dubai office. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. 

Ready to join us as we serve those who serve others? 

#LI-Onsite

Senior Account Manager, MENA

About Us:

BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets, and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun.

BlackSky is seeking a Senior Account Manager who will be responsible for managing and growing relationships with key BlackSky government customer accounts and communicating the business and mission value of BlackSky’s imagery and analytics products. A successful candidate will serve as the voice of the customer within BlackSky, ensuring strong alignment between customer mission needs, program execution, and BlackSky’s commercial objectives.

This role is ideal for a government-facing account leader who understands how geospatial intelligence, imagery, and analytics are used in real-world operations and can translate those needs into long-term, high-value customer partnerships. This is a highly visible role that will directly contribute to customer satisfaction, renewals, and the continued expansion of BlackSky’s presence across government and defense organizations. 

This role reports to the Senior Director, Account Management and is a remote role based in-region in the UAE supporting international customers in the MENA region and will partner closely with BlackSky’s Customer Program and Success teams and the broader Account Management team. Relocation is not provided for this position, candidates need to be already located in the UAE.

Responsibilities:

• Manage customer relationships for key international government customers.
• Own and grow a portfolio of strategic government accounts, serving as the primary point of contact for customer leadership, program managers, and mission users.
• Act as the voice of the customer inside BlackSky by bringing customer feedback, needs, and risks to internal teams to influence priorities and deliveries.
• Coordinate with internal teams (such as Customer Success, Product Management and Product Operations) to ensure that BlackSky is meeting customer commitments, milestones and requirements.
• Build and maintain strong relationships with customers, understand their goals and articulate how BlackSky can help them meet those goals.
• Understand and communicate how BlackSky’s geospatial products and services drive customer value and goals.
• Drive customer satisfaction, renewals, and long-term retention across assigned accounts.
• Meet revenue objectives, drive overall strategic direction and expand relationships within each account.
• Identify and engage key stakeholders within each account, including technical, operational, and leadership decision-makers.
• Proactively identify and resolve issues that could impact customer satisfaction, delivery, or renewal outcomes.
• Other job-related duties as assigned.

Required Qualifications:

• Bachelor’s degree in a business or analytical field.
• A minimum of eight (8) years of experience in Account Management, Customer Success, Program Management, or a related client-facing role supporting government or defense customers.
• At least five (5) years of experience delivering geospatial or imagery products and services.
• At least 3-5 years of experience in managing government and/or large commercial accounts, with demonstrated responsibility for renewals, expansions, and ongoing account health.
• Direct experience supporting international Ministries of Defense.
• Experience owning one or more strategic customer accounts with multiple stakeholders (e.g., programs managers, operators, analysts, or leadership).
• Demonstrated responsibility for revenue or contract performance, such as renewals, program extensions, task orders, or account growth.
• Experience coordinating cross-functional team to deliver against customer requirements and milestones.
• Previous experience with the Department of Defense and/or international ministries of defense.
• Ability to translate customer mission needs into product or service requirements, including communicating priorities, risks, and delivery timelines.
• Excellent oral and written communication skills; fluent in English.
• Proven record of partnering with teams across the organization and influencing to achieve business results across multiple teams who may have different goals.
• Patient, adaptable and comfortable operating in dynamic, mission-driven environments.

Preferred Qualifications:

• Fluent in Arabic.
• Previous military or government service supporting imagery, intelligence, ISR, or geospatial operations.
• Direct experience working with imagery, remote sensing, or imagery analytics in an operational, analytical, or programmatic capacity.
• Master’s Degree in a quantitative field or MBA.
• Experience working with international defense or intelligence organizations.
• Experience supporting high-growth, technology-driven organizations.
• Ability to operate independently in a fast-moving, ambiguous environment while managing multiple high-value customers.
• Ability to anticipate customer needs and direction.

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.

ROLE

• Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
• Overseeing automated trade execution and monitoring transaction costs.
• Supervising a small team of researchers and developers on a daily basis.
• Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
• Performing research to acquire historical and production data sources needed to build investment models.
• Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
• Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
• Using quantitative models to value securities.
• Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
• Developing aspects of successful statistical models, focusing on forecasting and optimization.
• Expanding trading universe and volume and expanding to other exchanges and products.

REQUIREMENTS

• Advance degree (Masters or Ph.D.) in a computational or analytical field.
• Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
• Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
• Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior. 

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.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework.

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards.

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.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required. 
• A commitment to the highest ethical standards. 

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.

ROLE/RESPONSIBILITIES:

• Building components for both live trading and simulation of global equities portfolios
• Building tools for simulation, portfolio construction, dashboards, and the research framework
• Designing and deploying new features to improve portfolio construction methodology and process
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Identifying deficiencies in the trading platform and deploying solutions
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handling the release of code fixes and enhancements

REQUIREMENTS:

• Master’s degree or higher in mathematics, statistics, computer science, or other quantitative discipline
• 2+ years of experience designing and developing research tools at a tech firm or quant hedge fund
• Experience with systematic portfolio construction for equities a plus
• Strong programming skills in Python
• Experience with kdb, database design, and large datasets
• Willing to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards

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.

About the team

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

What you'll do

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

What you'll need

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

About the Role

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

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

What You'll Do

1. ETA Vision & Architecture Ownership

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

2. Advanced Modeling & Algorithm Development

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

3. Production Systems & Real-Time Inference

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

4. Experimentation & Marketplace Impact

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

5. Technical Leadership & Cross-Team Influence

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

What You'll Need

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

What we’ll provide you

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

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

About the Team

The Public Policy & Government Affairs team at Careem is at the forefront of shaping the regulatory landscape for the digital economy in the Middle East. We act as the bridge between Careem’s innovative technologies and the governmental ecosystems in which we operate. Our team is dedicated to fostering collaborative relationships with regulators, policy-makers, and other concerned stakeholders to ensure that Careem’s platform services can grow sustainably while delivering maximum value to our customers, and while leaving a positive impact on the community

About the Role

As the Senior Manager, Public Policy & Government Affairs, you will be a leader within Careem Technologies, overseeing the public policy strategy for high-growth verticals including Pay, Food, and Quik, etc. Based in Dubai, you will navigate complex regulatory frameworks across multiple jurisdictions, ensuring that this multi-service platform continues to lead and to expand.

You are a strategic thinker who is plugged into industry trends and public sentiment. You will be responsible for translating business objectives into actionable policy positions and serving as a trusted advisor to both internal leadership and external government stakeholders.

What you'll do

• Strategy & Execution: Plan and execute comprehensive government relations, policy strategies, and corporate affairs campaigns across Careem Technologies' verticals (Pay, Food, Quik, etc.).
• Stakeholder Engagement: Engage at senior levels with a diverse set of government and non-government stakeholders to advocate for and implement win-win regulatory outcomes.
• Lead Interlocutor: Act as a primary interface for government interactions and represent the company with sector regulators, technology/investment entities, and key ministries.
• Risk & Prioritization: Prioritize public policy objectives, risks, and opportunities across Careem’s markets and ensure the allocation of appropriate resources in line with these priorities.
• Strategic Partnerships: Identify and execute strategic partnerships (government and non-government) that deliver long-term value to Careem’s technology ecosystem.
• Internal Advocacy: Drive internal communications and the creation of case studies or white papers to demonstrate the scope and impact of the function within the company.
• Trend Monitoring: Maintain an up-to-date mastery of industry trends and public knowledge to proactively manage the brand's regulatory reputation.

What you'll need

• Experience & Background: 8–10 years of progressive experience in the Middle East (predominantly UAE and Saudi Arabia) within a private company (policy/regulatory capacity), top-tier law firm, management consultancy, or a multilateral development organization.
• Language Mastery: Professional fluency in both Arabic and English is essential for this role.
• Analytical Ability: A high degree of rigor in developing quantitative and economic justifications to support Careem’s policy positions.
• Advocacy Skills: Outstanding ability to build and communicate complex positions in a concise and compelling way to high-level officials.
• Stakeholder Management: Proven experience interacting with government stakeholders and managing public policy teams across multiple geographies.
• Cultural Alignment: A commitment to Careem’s mission and alignment with its core values.

What we’ll provide you

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

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

About the Role

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

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

What You'll Do

1. Matching & Dispatch Architecture Ownership

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

2. Multi-Objective Optimization & Algorithm Development

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

3. Real-Time Systems & Production Delivery

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

4. Experimentation & Impact Measurement

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

What You'll Need

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

What we’ll provide you

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

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

We are a decentralized protocol committed to the radical transparency of market data. In an industry where "Code is Law," we ensure that the spirit of fair play is upheld through rigorous analysis. As a Market Integrity Analyst, you will be the lead investigator and architect of our surveillance systems, identifying sophisticated manipulation and ensuring our ecosystem remains a trusted foundation for global finance.

Your Core Responsibilities

• Monitor on-chain and off-chain trading activity to detect, investigate, and prevent market abuse, including wash trading, spoofing, layering, and front-running.

• Develop and refine statistical models and heuristics to identify anomalous behavior that traditional rule-based systems might miss.

• Conduct deep-dive investigations into flagged transactions, tracing the flow of funds and correlating cross-platform activity to uncover coordinated manipulation.

• Design and maintain real-time dashboards and comprehensive reports on market health for protocol governance and community transparency.

• Collaborate with the engineering team to integrate advanced surveillance tools and automate the detection of emerging threat typologies.

Who You Are

• You have a keen eye for detail and a "sixth sense" for identifying when market data doesn't add up.

• You are comfortable working with large datasets and using Python or SQL to extract actionable insights from raw blockchain data.

• You understand the mechanics of AMMs, order-book DEXs, and the specific incentives that drive malicious actors in a decentralized environment.

• You operate with the highest level of integrity, providing neutral, evidence-based assessments that protect the protocol's reputation.

Requirements

• 3+ years of experience in financial surveillance, market oversight, or data science within a high-frequency trading or exchange environment.

• Proven proficiency in Python, SQL, and data visualization tools (e.g., Dune Analytics, Tableau, or Grafana).

• Deep understanding of market manipulation schemes and the regulatory landscape surrounding digital assets.

• Experience with blockchain analytics platforms (e.g., Chainalysis, Elliptic, or Solidus Labs) is a significant plus.

• Bachelor’s degree in Finance, Mathematics, Computer Science, or a related quantitative field.

The Role

Ziina is looking for a driven and hands-on FP&A Manager to be our founding financial planning expert. This is a high-impact, foundational role where you will design, implement, and own our entire financial planning and analysis ecosystem from the ground up. You will be the primary architect of our budgeting, forecasting, and reporting infrastructure, directly enabling data-driven decision-making for our leadership team, and relevant external parties. If you are passionate about transforming raw data into strategic insights and thrive in a fast-paced environment, this is your chance to build a best-in-class FP&A function that scales with a hyper-growth FinTech company.

As a FP&A Manager at Ziina you will:

• Design, implement, and own the company’s first end-to-end FP&A function, including all processes, templates, and reporting standards for budgeting, forecasting, and scalable variance analysis.
• Build and maintain the company-wide budget and quarterly re-forecasts from scratch, gathering, consolidating, and challenging inputs from all departments.
• Create and manage dynamic, driver-based financial models for forecasting revenue, expenses, and cash flow, including developing scenario analysis tools to evaluate strategic options (e.g., product launches, pricing).
• Design and deliver comprehensive monthly KPI dashboards, P&L reports, and variance analyses for leadership, investors, and the Board, establishing clear review cadences.
• Act as a strategic business partner, working closely with Product, Ops, and Engineering to understand business drivers, align assumptions, and translate operational activities into measurable financial impacts.
• Build the financial data infrastructure, including defining mapping, validation, and reconciliation processes necessary for accurate FP&A reporting.
• Lead data analysis directly by using SQL or similar tools to pull and manipulate raw datasets, ensuring data integrity and independence from other teams.
• Produce investor updates and Board materials, ensuring external financial communications are accurate, consistent, and on-message based on the unified financial model.
• Continuously seek and implement automation into forecasting, reporting, and data workflows to improve efficiency, accuracy, and reduce manual effort as the business scales.

To succeed in this role, you likely:

• Have 4–6 years of progressive experience in Financial Planning & Analysis, preferably within a high-growth startup, FinTech, or technology company.
• Possess expert-level financial modeling and analytical skills, with a proven track record of building and owning company-wide financial models from scratch.
• Have deep proficiency with data manipulation and analysis, including strong working knowledge of SQL or other data querying languages.
• Are highly skilled in data visualization and reporting tools (e.g., Tableau, Looker, etc.) and advanced Excel/Google Sheets functions.
• Demonstrate exceptional communication and interpersonal skills, with the ability to effectively partner with and influence cross-functional leaders (Product, Engineering, Operations).
• Are self-driven, highly organized, and able to manage multiple projects simultaneously in a fast-paced, ambiguous environment.
• Hold a Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field.

What would amaze us

• Experience in a FinTech or B2B SaaS environment, with deep understanding of relevant KPIs (e.g., CAC, LTV, churn, cash runway).
• Proven success in establishing an FP&A function for a company that has undergone a significant funding round (Series A/B or later).
• Direct experience automating core FP&A processes using dedicated software solutions (e.g., Anaplan, Adaptive Planning, etc.).
• A CPA, CFA, or MBA qualification.
• Experience directly building out data pipelines or data warehousing for finance-specific needs.

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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