At a Glance
- Tasks: Build innovative trading systems and collaborate with quantitative researchers in a fast-paced environment.
- Company: DRW, a leading trading firm with a focus on technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team with high expectations and excellent career advancement opportunities.
- Why this job: Make a real impact in the exciting world of prediction markets and trading.
- Qualifications: 2+ years in Python, experience with production systems, and strong problem-solving skills.
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 employer: Dormont Manufacturing Co
At DRW, we pride ourselves on being an exceptional employer 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 critical systems while working closely with quantitative researchers and traders. With a commitment to employee growth, autonomy, and respect, we empower our team to navigate challenges and drive impactful solutions in the fast-paced world of trading.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Prediction Markets
✨Tip Number 1
Get to know the company inside out! Research DRW's trading strategies and tech stack. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and real-time data processing. Practice coding challenges and be ready to discuss your past projects. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at DRW.
We think you need these skills to ace Software Engineer - Prediction Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Software Engineer on the Prediction Markets Desk. Highlight your Python expertise and any relevant projects that showcase your ability to work in fast-paced environments.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background fits with our team. Share specific examples of how you've tackled ambiguity and delivered production systems in the past.
Showcase Your Problem-Solving Skills:In your application, emphasise your ability to dive deep into complex problems. We want to see how you approach challenges, so consider including a brief example of a tricky issue you resolved in a previous role.
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 Landscape
Familiarise yourself with trading operations, especially around order lifecycles and reconciliation systems. Being able to speak knowledgeably about these topics will demonstrate your understanding of the environment you'll be working in and how your role fits into the bigger picture.
✨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 will illustrate your ability to thrive in a fast-moving, high-autonomy environment like DRW.
✨Communicate Like a Pro
Since this role involves collaboration with traders and researchers, practice clear and concise communication. Be ready to explain technical concepts in layman's terms, as this will showcase your interpersonal skills and ability to work within a team.
