Market Risk - Data Engineer

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 accuracy when working with complex models, data, and code to minimise risk and errors in a production environment.

• Communication: clearly conveys technical concepts and issues to both engineers and non-technical stakeholders, enabling fast and effective decision-making.

• Resilience and adaptability: remains composed under pressure — whether navigating a production incident, a tight deadline, or a rapidly shifting AI landscape — and adapts quickly without losing rigour.

Department overview

The Market Risk team is a globally integrated function embedded at the heart of Trafigura's commodity trading operations, covering Oil & Petroleum Products, Metals, and Power & Gas. We partner directly with commercial and trading teams to quantify, monitor, and manage risk exposures across the full trade life cycle — from origination through settlement. The team maintains a strong quantitative focus and is actively investing in AI and automation to enhance both the depth and speed of our risk analytics. You would join a collegial, intellectually driven group that values initiative and innovation, with significant visibility into senior leadership and direct impact on the business.

Equal opportunity employer

We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.