At a Glance
- Tasks: Design and build risk engineering systems in a fast-paced, innovative environment.
- Company: Global commodity trading company focused on innovation and collaboration.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Join a team that values ownership, collaboration, and continuous improvement.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: Solid understanding of commodities markets and proficient in Python development.
The predicted salary is between 70000 - 90000 £ per year.
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
- 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.
Senior Risk Engineer employer: Luxoft
Luxoft is an excellent employer that fosters a dynamic and collaborative work culture, particularly for those passionate about market risk analytics. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive agile environment. Located in the United Kingdom, Luxoft offers a unique blend of professional development and a vibrant team atmosphere, making it an ideal place for skilled developers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Risk Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to risk engineering or market data, make sure to share it. It’s a great way to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s recent projects and challenges. Tailor your answers to show how your experience aligns with their needs, especially around commodities risk and cloud-native solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Risk Engineer
Some tips for your application 🫡
Show Your Passion for Commodities:When you're writing your application, make sure to highlight your understanding of commodities markets. We want to see that you’re not just familiar with the concepts but genuinely passionate about them. This will help us know you’re the right fit for our fast-paced environment.
Be Clear and Concise:We appreciate straightforward communication. When detailing your experience, especially with Python and full-stack development, keep it clear and to the point. Use bullet points if necessary to make it easy for us to see your skills at a glance.
Demonstrate Problem-Solving Skills:In your application, share examples of how you've taken high-level requirements and turned them into successful projects. We love seeing candidates who can drive ambiguous tasks to completion without needing constant guidance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Luxoft
✨Know Your Commodities
Make sure you brush up on your understanding of commodities markets, especially price risk and market data flows. Being able to discuss these topics confidently will show that you’re not just technically skilled but also have a solid grasp of the domain you'll be working in.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python proficiency during the interview. Bring examples of clean, well-tested code you've written, and be ready to discuss your approach to building scalable systems. This is a hands-on role, so showing your coding chops is crucial!
✨Emphasise Collaboration
Since this role involves close collaboration with quants, traders, and risk managers, be prepared to share examples of how you've successfully worked in cross-functional teams. Highlight your ability to take high-level requirements and translate them into actionable tasks.
✨Be Ready for Fast-Paced Questions
Expect questions that reflect the high-velocity delivery environment. Practice articulating how you handle multiple releases per day and your disciplined approach to testing and observability. Showing that you can thrive under pressure will set you apart!
