Senior Risk Engineer
Project description
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.
SKILLS
Must have
- 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
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 to You are easy to work with under pressure You have strong opinions, loosely held
