Prediction Markets Trader

• →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, cross-platform arbitrage, and statistical pairs/mean reversion.
• →Develop and backtest models using historical tick data, Bayesian probability updates, and machine learning for fair-value estimation.
• →Collaborate with engineering on low-latency infrastructure, including API integrations, order engines, and anomaly detection.

• 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 betting).
• Demonstrated interest in prediction markets through personal trading, studying market mechanics, building models, or similar activities.

• Prior profitable trading experience in prediction markets, options, or related markets, whether 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.
• Knowledge of prediction market categories such as politics, macroeconomics, climate, and sports.

• Resume
• Cover letter detailing your interest in prediction markets, with specific examples such as trades you’ve made, resolutions you’ve studied, models you’ve built, or protocols you follow
• GitHub, personal blog, or portfolio links showing relevant work

Applications are 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.

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.