Prediction Markets Trader at DRW

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities:

• Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
• Execute strategies including: market making with dynamic skew, microstructure arbitrage (order-flow and book-imbalance sniping), cross-platform arb, news/event momentum (sub-second reaction), and statistical pairs/mean-reversion.
• Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair-value estimation.
• Collaborate with engineering on low-latency infrastructure (API integrations, order engines, anomaly detection).

Required Qualifications:

• Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
• Strong programming skills: Python (pandas, NumPy, backtesting).
• Solid foundation in probability, statistics, time-series analysis, and Bayesian methods.
• Hands-on experience with prediction market platforms (Polymarket and/or Kalshi APIs) or closely related domains (options, binary events, sports/event betting).
• Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non-negotiable.

Highly Valued (but not strictly required):

• Prior profitable trading experience in prediction markets, options, or event-driven strategies (personal or professional).
• Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
• Experience with low-latency systems, FIX protocol, or Web3 integrations.
• Track record of building and backtesting quantitative models with real historical data.
• Deep domain knowledge of high-impact events (politics, macroeconomics, climate, sports).

Who We’re Looking For: We are especially interested in exceptionally sharp, self-motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Apply With: 

• Resume
• Cover letter explicitly detailing your genuine interest in prediction markets (specific examples of your engagement: trades you’ve made, resolutions you’ve studied, models you’ve built, protocols you follow, etc.)
• GitHub, personal blog, or portfolio links showing relevant work

Applications reviewed on a rolling basis. Strong candidates will receive a technical screen, strategy discussion, and live coding/modeling exercise focused on real prediction market scenarios.

Location:  Flexible.  US-based preferred.