Market Risk - Data Engineer — Trafigura

Full description

Main purpose We are looking for a highly motivated Market Risk - Data Engineer to join Trafigura’s Market Risk team at the intersection of commodity trading and cutting-edge AI. This role goes beyond traditional risk analysis: you will harness agentic AI to build automated workflows, design analytical tools, and deliver rapid, high-quality insights that directly support trading decisions across our Oil & Petroleum Products, Metals, and Power & Gas divisions. If you are passionate about building things — from polished, production-ready processes to fast, creative ad hoc analyses — and you want to do it in one of the world’s most dynamic commodity trading environments, this is the role for you.

Key responsibilities

Build Data & Analytics Solutions

• Develop and maintain data pipelines that support daily market risk processes and analytics.
• Design and implement tools to automate data ingestion, validation, reporting, and analysis workflows.
• Build scalable solutions that improve the quality, accessibility, and timeliness of risk data.

Apply AI & Automation

• Help design and deploy AI-enabled workflows that support risk analysis, reporting, and operational efficiency.
• Explore and evaluate emerging AI technologies, including LLMs, automation frameworks, and agent-based solutions.
• Contribute to a shared library of reusable tools and frameworks that can be leveraged across the Market Risk function.

Support Quantitative Risk Analytics

• Contribute to the development and enhancement of market risk models and metrics, including:
• Value-at-Risk (VaR)
• Stress testing and scenario analysis
• Sensitivity analysis and Greeks
• P&L explain and attribution
• Partner with market risk managers and traders to deliver actionable insights and analytical support.

Ensure Operational Excellence

• Monitor and maintain production data pipelines and analytics processes.
• Investigate and resolve data quality issues, process failures, and exceptions.
• Contribute to best practices in software development, testing, monitoring, and documentation.
• Support continuous improvements in system reliability, scalability, and maintainability.

Required qualifications

• Minimum 2–4 years’ experience in market risk, quantitative finance, or a related analytics role within commodity trading or financial services.
• Strong Python programming skills and experience building production-quality solutions.
• Experience working with data pipelines, APIs, data processing frameworks, or workflow automation tools.
• Understanding of software engineering fundamentals, including testing, version control, and code quality practices.
• Interest in applying AI and automation technologies to solve business problems.
• Strong analytical and problem-solving capabilities.
• Excellent communication skills in English, both written and verbal.

Preferred qualifications

• Experience in financial markets, commodities, risk management, or trading environments.
• Familiarity with market risk concepts such as VaR, stress testing, sensitivities, or P&L analysis.
• Exposure to AI/LLM technologies, including APIs, prompt engineering, agent frameworks, or workflow automation tools.
• Experience with cloud platforms, data platforms, or modern analytics environments such as Snowflake or Databricks.
• Knowledge of Docker, Kubernetes, CI/CD pipelines, or related engineering practices.
• Master's degree or higher in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related quantitative discipline.

Attributes for success

• Intellectually curious and self-driven, with a bias for action — you move quickly from idea to working solution without waiting to be asked.
• AI-first mindset: genuinely excited by agentic AI and actively seeks opportunities to deploy it across the team’s workflows — not just as a personal productivity tool but as shared infrastructure that multiplies the team’s output.
• Attention to detail: maintains rigorous accu