DRW - Prediction Markets Trader

• 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. • Genuine, demonstrated interest in prediction markets • 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. • 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. • Location: • The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. • 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. • #LI-GV1