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
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