Senior Risk Engineer

About the role

In this role, the Senior Risk Engineer will design and maintain systems focused on commodities risk and market data. The position requires collaboration with traders and risk managers to ensure systems reflect market realities, while also managing technical debt.

Working in a CI/CD environment, you will be responsible for delivering production-ready solutions based on high-level requirements. The role emphasizes cloud-native practices and full-stack development, making it essential for candidates to be comfortable across various technologies.

The salary range for this role is between $115,000 and $195,500 USD.

Skills that matter here

• Python: You will write clean, idiomatic, and well-tested code as part of your daily work.
• AWS: Experience with AWS is essential for building and maintaining cloud-based systems.
• GCP: Proficiency in GCP is useful for managing cloud infrastructure.
• Azure: Knowledge of Azure helps in leveraging cloud services effectively.
• CI/CD: You will contribute to multiple daily releases in a CI/CD environment.
• infrastructure-as-code: This role requires familiarity with infrastructure-as-code practices for cloud deployment.

Who this role suits

• You have a solid understanding of commodities markets and price risk.
• You thrive in a fast-paced environment and are disciplined about testing and observability.
• You are comfortable taking ambiguous requirements and driving them to completion independently.
• You maintain a low-ego and outcome-focused approach, pushing back constructively when necessary.

From the employer

• 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

• 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