Senior Risk Engineer (w/m/d) - experience in commodities markets, Python, Cloud platforms

Overview

Our client, a global commodity trading company committed to innovation, is seeking a Senior Risk Engineer to join their engineering team. This role operates at the intersection of commodities risk, market data, and modern software delivery.

You will work in a fast-paced environment, taking full ownership of problems from high-level business requirements through to production deployment, often within the same day.

This is a hands‑on engineering position involving coding, architectural design, and close collaboration with risk and trading stakeholders to translate complex domain requirements into robust, scalable solutions.

Responsibilities

• Design, build, and maintain risk engineering systems across the full stack, with a focus on commodities risk and market data pipelines
• Take high‑level, loosely defined requirements from trading and risk stakeholders and independently infer the detail needed to deliver correct, production‑ready solutions
• Contribute to multiple daily releases in a CI/CD environment — writing code that is testable, observable, and safe to ship continuously
• Work within and help evolve cloud‑native, engineering‑led platforms, applying modern infrastructure and deployment practices
• Collaborate closely with quants, traders, and risk managers to ensure systems accurately reflect market and risk realities
• Participate in design reviews, code reviews, and architectural decisions with a pragmatic, delivery‑focused mindset
• Identify and address technical debt without being asked

Must have skills

• Solid understanding of commodities markets — price risk, mark‑to‑market, curves, and market data flows
• Experience building or maintaining systems that consume and process market data at scale
• Proficient Python practitioner — you write clean, idiomatic, well‑tested code as a matter of habit
• Working knowledge of full‑stack development: comfortable across backend services, APIs, and front‑end interfaces as needed
• Experienced with cloud‑based platforms (AWS, GCP, or Azure) and the engineering practices that go with them — containerization, infrastructure‑as‑code, managed services
• Fluent in agentic development workflows — you use AI‑assisted tooling (e.g. Copilot, Cursor, or equivalent) as a natural part of your SDLC, not as a novelty; comfortable with AI‑generated code review, test generation, and iterative refinement within a fast‑release pipeline
• Comfortable operating in a high‑velocity delivery environment with multiple releases per day
• Disciplined about testing, observability, and rollback — you ship fast without being reckless
• Able to take ambiguous, high‑level requirements and drive them to completion without hand‑holding

Nice to have skills

• You are direct, low‑ego, and focused on outcomes
• You push back when something doesn't make sense, and you do it constructively
• You take ownership — if something is broken or unclear, you fix it or clarify it rather than waiting for someone else
• You are easy to work with under pressure