Market Risk Financial Engineer

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
• 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.

Requirements

• 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

Benefits

Additional Information

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.

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Company Intel

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