Software Engineer - Prediction Markets (Python)

drweng

London, UKonsitePosted Mar 17, 2026
Posting intelligenceMay be filled, listed long ago

Skills

python

About the role

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 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

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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