About Us

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

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

Your Role

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

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

Your Responsibilities

Model Deployment & Scaling

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

MLOps & Infrastructure

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

Model Monitoring & Maintenance

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

Collaboration with Risk DS

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

System Design & Integration

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

Your Expertise

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

All qualified individuals are encouraged to apply.

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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

Employment type: Full-time & Permanent

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

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

About Cobblestone Energy

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

Cobblestone Values

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

What we offer in this role

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

Key Responsibilities:

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

Your background:

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

Preferred Background:

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

The Hiring Process

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