Ph3Main Purpose /h3pWe 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. /ph3Key Responsibilities /h3ulliDesign and deploy agentic AI workflows to automate data ingestion, analysis pipelines, risk reporting, data analysis, and PL pipelines, dramatically reducing manual effort and accelerating time‑to‑insight across the team. /liliChampion 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. /liliStay at the frontier of agentic AI – LLM orchestration, tool‑use, multi‑agent architectures – continuously evaluating and introducing new capabilities to our workflows. /liliDevelop, rewrite, and expand code for quantitative risk models and metrics (VaR, Greeks, PL attribution) across commodity asset classes. /liliBuild and maintain scalable, containerised data pipelines for daily ingestion and analysis of market data, ensuring accuracy, completeness, and timeliness. /liliValidate data quality and enforce rigorous standards across market data ingestion pipelines; expedite and resolve production issues (data quality, limit breaches, pipeline failures). /li /ulh3Required Qualifications /h3ulliMinimum 2–4 years of experience in market risk, quantitative finance, or a related analytics role within commodity trading or financial services. /liliExpert‑level Python programming skills; additional proficiency in F# or C++ is a strong advantage. /liliHands‑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). /liliDeep understanding of market risk concepts and metrics: VaR, Greeks, stress testing, scenario analysis, and PL attribution. /liliExpertise in CI/CD pipelines, containerised environments (Docker/Kubernetes), and software architecture best practices. /liliProven experience managing production environments in a financial or quantitative setting – incident escalation, data quality assurance, and pipeline reliability. /liliExcellent English communication skills (oral and written, native or equivalent to C2 level). /li /ulh3Preferred Qualifications /h3ulliMaster’s degree or higher in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field. /liliExperience with cloud data platforms (e.g., Snowflake, Databricks) and visualisation tools (e.g., Tableau, PowerBI) for building shareable, production‑grade risk dashboards. /liliPrior exposure to multi‑commodity environments spanning oil, metals, and power/gas markets, and familiarity with the associated market data providers and conventions. /li /ulh3Attributes for Success /h3ulliIntellectually curious and self‑driven, with a bias for action. /liliAI‑first mindset – genuinely excited by agentic AI and actively seeks opportunities to deploy it across the team’s workflows. /liliAttention to detail – maintains rigorous accuracy when working with complex models, data, and code. /liliCommunication – clearly conveys technical concepts to both engineers and non‑technical stakeholders. /liliResilience and adaptability – remains composed under pressure and adapts quickly without losing rigour. /li /ulh3Equal Opportunity Employer /h3pWe 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. /p /p #J-18808-Ljbffr