Market Risk Financial Engineer

Main purpose

We are looking for a highly motivated Market Risk Analyst 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

• Design and deploy agentic AI workflows to automate data ingestion, analysis pipelines, risk reporting, data analysis, and P&L pipelines — dramatically reducing manual effort and accelerating time‑to‑insight across the team
• Champion agentic AI adoption across the market risk function — building a shared library of reusable AI agents and engineering frameworks that multiply the team’s output
• Stay at the frontier of agentic AI — LLM orchestration, tool‑use, multi‑agent architectures — continuously evaluating and introducing new capabilities to our workflows
• Develop, rewrite, and expand code for quantitative risk models and metrics (VaR, Greeks, P&L attribution) across commodity asset classes
• Build and maintain scalable, containerised data pipelines for daily ingestion and analysis of market data, ensuring accuracy, completeness, and timeliness. Validate data quality and enforce rigorous standards across market data ingestion pipelines; escalate and resolve production issues (data quality, limit breaches, pipeline failures)
• Stay current with developments in agentic AI — LLM orchestration, tool‑use, multi‑agent architectures — and actively evaluate their application to our workflows and risk processes.

Required qualifications

• Minimum 2–4 years’ experience in market risk, quantitative finance, or a related analytics role within commodity trading or financial services.
• Expert‑level Python programming skills; additional proficiency in F# or C++ is a strong advantage.
• Demonstrated, hands‑on experience building or deploying agentic AI — LLM APIs, agent frameworks (e.g. LangChain, AutoGen, Claude API, custom tool‑use pipelines), or multi‑agent orchestration. This is a core requirement, not a nice‑to‑have.
• Deep understanding of market risk concepts and metrics: VaR, Greeks, stress testing, scenario analysis, and P&L attribution.
• Expertise in CI/CD pipelines, containerised environments (Docker/Kubernetes), and software architecture best practices.
• Proven experience managing production environments in a financial or quantitative setting — including incident escalation, data quality assurance, and pipeline reliability.
• Excellent English communication skills (oral and written, native or equivalent to C2 level), with the ability to convey technical concepts clearly to both engineers and business stakeholders.

Preferred qualifications

• Master’s degree or higher in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field.
• Experience with cloud data platforms (e.g. Snowflake, Databricks) and visualisation tools (e.g. Tableau, Power BI) for building shareable, production‑grade risk dashboards.
• Prior exposure to multi‑commodity environments spanning oil, metals, and power/gas markets, and familiarity with the associated market data providers and conventions.

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.