Software Engineer - Prediction Markets (Python) in London

Software Engineer - Prediction Markets (Python) in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Predict responsibly

At a Glance

  • Tasks: Build innovative trading systems and collaborate with quantitative researchers in a fast-paced environment.
  • Company: Join DRW, a leading trading firm known for its cutting-edge technology and collaborative culture.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic team with a focus on innovation and career advancement.
  • Why this job: Make a real impact by developing systems that drive trading decisions and market strategies.
  • Qualifications: 2+ years of Python experience and a knack for solving complex problems.

The predicted salary is between 60000 - 80000 £ per year.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

About the Team

DRW's Prediction Markets Desk is a new trading desk building trading across prediction market venues. The desk is looking for engineers who want to own critical systems in a fast-moving, high-autonomy environment. We embed deeply with quantitative researchers and traders to turn pricing models, risk frameworks, and trade lifecycle requirements into scalable, reliable production systems.

About the Role

Software Engineers on the Prediction Markets Desk will build systems that take the desk from idea to production trading, including real-time pricing input pipelines, middle office, cross-venue reconciliation, and risk. During a build phase, you will be directly embedded with the desk lead and quantitative researchers, navigating ambiguity in requirements, making trade-offs, and delivering systems that the desk depends on to know what it owns, what it paid, and whether its books are clean. As the desk matures, you will harden and extend these systems — extracting reusable patterns, improving reliability, and scaling infrastructure to support new venues and market categories.

In this role you will:

  • Grow research tooling and infrastructure to support the business
  • Implement trading signals and strategies
  • Create infrastructure that allows the desk to efficiently capture market opportunity
  • Take full ownership of the products you create, from prototype to stable production
  • Work with both greenfield and legacy systems, primarily in Python
  • Provide on-call support as needed

Qualifications

  • A minimum of 2+ years' experience in Python, with the ability to work comfortably across multiple programming languages
  • A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
  • Experience building trade capture, position management, middle-office, or reconciliation systems
  • Familiarity with real-time data processing and multi-venue environments
  • Familiarity interacting with on-chain data
  • Understanding of trading operations (order lifecycle, break resolution, audit trails, PnL calculation)
  • Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimise complexity
  • Exceptional interpersonal skills — you communicate clearly with traders, researchers, and other engineers, fostering a collaborative, supportive working environment
  • Experience in the financial markets, crypto, or prediction markets is a plus
  • Experience with linux-based, concurrent, high-throughput software systems
  • Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience

Software Engineer - Prediction Markets (Python) in London employer: Predict responsibly

At DRW, we pride ourselves on being a forward-thinking trading firm that fosters a culture of innovation and collaboration. Our Chicago headquarters offers a dynamic work environment where Software Engineers on the Prediction Markets Desk can thrive, taking ownership of impactful projects while working closely with quantitative researchers and traders. With a commitment to employee growth, autonomy, and a diverse range of asset classes, DRW is an exceptional employer for those seeking meaningful and rewarding careers in technology and finance.

Predict responsibly

Contact Details:

Predict responsibly Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Prediction Markets (Python) 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 Predict responsibly 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 Predict responsibly.

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 Predict responsibly.

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 Predict responsibly 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 Software Engineer - Prediction Markets (Python) in London

Python
Real-time Data Processing
Trade Capture Systems
Position Management Systems
Middle-office Systems
Reconciliation Systems
Interpersonal Skills

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 Predict responsibly.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Predict responsibly 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 Predict responsibly

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 Predict responsibly 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.