Market Risk Financial Engineer, Geneva

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 decisionsacross our Oil&Petroleum Products, Metals, and Power&Gas divisions. 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; expedite and resolve production issues (data quality, limit breaches, pipeline failures).Required Qualifications

Minimum 2–4 years of 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. 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 (core requirement).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– incident escalation, data quality assurance, and pipeline reliability.Excellent English communication skills (oral and written, native or equivalent to C2 level). 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, PowerBI) 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. AI‑first mindset – genuinely excited by agentic AI and actively seeks opportunities to deploy it across the team’s workflows. Attention to detail – maintains rigorous accuracy when working with complex models, data, and code.Communication– clearly conveys technical concepts to both engineers and non‑technical stakeholders. Resilience and adaptability – remains composed under pressure and adapts quickly without losing rigour. 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.

#J-18808-Ljbffr