At a Glance
- Tasks: Design and build risk engineering systems for commodities, ensuring robust solutions.
- Company: Join a global commodity trading company focused on innovation and technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with traders and quants in a high-velocity delivery environment.
- Why this job: Make an impact in a fast-paced role with cutting-edge technologies and daily releases.
- Qualifications: Proficient in Python, with experience in commodities markets and full-stack development.
The predicted salary is between 63000 - 77000 £ 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
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
- C++ / Rust
- Experience with Trading Technologies FIX gateway
English: C2 Proficient
Location: London, United Kingdom of Great Britain and Northern Ireland
Lead Python Engineer (Risk) in London 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 Lead Python Engineer (Risk) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Luxoft or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Luxoft.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Luxoft.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Luxoft that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead Python Engineer (Risk) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Luxoft.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Luxoft and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Luxoft
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Luxoft uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
