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 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 to
• You are easy to work with under pressure
• You have strong opinions, loosely held

Languages:

English - C1 Fluent