
Empowering traders with technology and insights
DRW is a global trading firm headquartered in Chicago, Illinois, specializing in proprietary trading and investment strategies across various asset classes. With a team of over 1,000 employees, DRW leverages advanced technology and quantitative methods to identify and capitalize on market opportunit...
DRW offers competitive salaries, equity participation, generous PTO, and a flexible remote work policy. Employees also benefit from a comprehensive he...
DRW fosters a culture of collaboration and innovation, encouraging employees to take ownership of their projects and make impactful decisions. The fir...

DRW Holdings • Flexible - US Preferred
DRW Holdings is seeking a Prediction Markets Trader to develop and optimize trading strategies in binary event contracts. You'll work with platforms like Polymarket and Kalshi, utilizing skills in statistical models and machine learning. This role requires strong quantitative reasoning and experience in trading environments.
You have a strong background in quantitative analysis and trading, with a genuine passion for prediction markets. Your experience includes developing and executing high-conviction trading strategies, and you thrive in thin, volatile environments where quick decision-making is crucial. You possess strong quantitative reasoning skills and are comfortable managing a live portfolio while targeting consistent positive expectancy through various trading strategies.
You have experience with market making, microstructure exploitation, and cross-platform arbitrage. Your technical skills include developing and backtesting models using historical tick data, and you are familiar with Bayesian probability updates and NLP sentiment parsing. You are also knowledgeable about machine learning techniques for fair-value estimation, which enhances your trading strategies.
You are adept at collaborating with engineering teams to build low-latency infrastructure, including API integrations and order engines. Your ability to communicate complex concepts clearly and work effectively in a team-oriented environment sets you apart.
Experience with platforms such as Polymarket and Kalshi is a plus, as is familiarity with trading in various asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency. You are always eager to learn and adapt to new technologies and market conditions, ensuring that your strategies remain competitive.
As a Prediction Markets Trader at DRW, you will monitor and trade active markets in real time across platforms like Polymarket and Kalshi. You will execute strategies that include market making with dynamic skew, microstructure arbitrage, and event-driven momentum. Your role will involve developing and backtesting models to optimize trading performance and ensure that your strategies are data-driven and effective.
You will manage a live portfolio, focusing on consistent positive expectancy through various trading strategies. This includes exploiting market microstructure and reacting swiftly to news and events that impact market conditions. You will collaborate closely with engineering teams to enhance trading infrastructure, ensuring that your systems are robust and capable of handling high-frequency trading demands.
Your responsibilities will also include analyzing market data and trends to inform your trading decisions. You will leverage statistical models and machine learning techniques to refine your strategies and improve your trading outcomes. Your ability to adapt to changing market conditions and learn from past trades will be essential for success in this role.
At DRW, you will be part of a dynamic and innovative trading environment where your contributions directly impact the firm's success. We offer competitive compensation and benefits, including health insurance and retirement plans. You will have the opportunity to work with a talented team of professionals who are passionate about trading and technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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