Software Engineer - Prediction Markets in London

Software Engineer - Prediction Markets in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Build innovative trading systems and collaborate with traders and 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 excellent career advancement opportunities in the financial markets.
  • 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 passion 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 minimize 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 in London employer: Dormont Manufacturing Co

At DRW, we pride ourselves on being an exceptional employer that fosters a culture of innovation, integrity, and collaboration. Our Chicago headquarters offers a dynamic work environment where Software Engineers on the Prediction Markets Desk can thrive, taking ownership of critical systems while working closely with quantitative researchers and traders. With a commitment to employee growth and autonomy, we provide unique opportunities to engage in cutting-edge projects across diverse asset classes, ensuring that our team members are not only challenged but also supported in their professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Prediction Markets in London

Tip Number 1

Network like a pro! Reach out to current employees at DRW or in the trading tech space on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio of projects that highlight your experience with Python and any relevant systems you've built. This will help us demonstrate our hands-on abilities during interviews.

Tip Number 3

Practice makes perfect! Get comfortable with common technical interview questions related to trading systems and real-time data processing. We can even do mock interviews with friends to boost our confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we can tailor our application to match what DRW is looking for in a Software Engineer.

We think you need these skills to ace Software Engineer - Prediction Markets 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 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving trading systems or real-time data processing.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about the Prediction Markets Desk. Share specific examples of how you've navigated ambiguity in past projects and how you can contribute to our fast-moving environment.

Showcase Your Problem-Solving Skills:In your application, give us a glimpse into your thought process when tackling complex problems. We love candidates who can dive deep and simplify challenges, so share an example where you did just that!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Dormont Manufacturing Co

Know Your Tech Inside Out

Make sure you’re well-versed in Python and any other programming languages mentioned in the job description. Be ready to discuss your past projects, especially those involving trade capture or real-time data processing. This will show that you can hit the ground running.

Understand the Trading Environment

Familiarise yourself with trading operations, including order lifecycles and PnL calculations. Being able to speak knowledgeably about these concepts will demonstrate your understanding of the role and how your work impacts the trading desk.

Showcase Your Problem-Solving Skills

Prepare to discuss complex problems you've tackled in previous roles. Highlight how you navigated ambiguity and made trade-offs to deliver effective solutions. This is crucial for a role that requires ownership of critical systems in a fast-paced environment.

Communicate Clearly and Collaboratively

Since the role involves working closely with traders and researchers, practice articulating your thoughts clearly. Think of examples where you fostered collaboration in your past experiences. This will help convey that you’re not just a tech whiz but also a team player.