Software Engineer - Prediction Markets (Python)

<p><strong>DRW</strong> 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.</p> <p>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.</p> <p>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. <strong>DRW</strong> is a place of high expectations, integrity, innovation and a willingness to challenge consensus.</p> <p><span style="text-decoration: underline;"><strong>About the Team</strong></span></p> <p>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.</p> <p><span style="text-decoration: underline;"><strong>About the Role</strong></span></p> <p>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.</p> <ul> <li>During a&nbsp;<strong>build phase</strong>, 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.</li> <li>As the desk matures, you will&nbsp;<strong>harden and extend</strong>&nbsp;these systems — extracting reusable patterns, improving reliability, and scaling infrastructure to support new venues and market categories.</li> </ul> <p><span style="text-decoration: underline;"><strong>In this role you will:</strong></span></p> <ul> <li>Grow research tooling and infrastructure to support the business</li> <li>Implement trading signals and strategies</li> <li>Create infrastructure that allows the desk to efficiently capture market opportunity</li>