Prediction Markets Trader
Core
Develop, execute, and optimize high-conviction trading strategies in binary event contracts on prediction market platforms like Polymarket and Kalshi.
Role type
Quantitative trader (prediction markets)
Builds
Live trading portfolios targeting positive expectancy via market making, arbitrage, and statistical models
Domain
Financial markets / Prediction markets / Quantitative finance
Deliverable
production ML models
Required skills
Python (pandas, NumPy, backtesting), probability theory, statistics, time-series analysis, Bayesian methods, API integration, low-latency system design
Preferred skills
Prior profitable trading experience in prediction markets or options, blockchain/DeFi familiarity, low-latency system experience, deep knowledge of high-impact events
Technologies
Polymarket APIs, Kalshi APIs, FIX protocol, WebSockets, REST, NLP, ML frameworks
Responsibilities
Monitor and trade active markets in real time; Execute market making, microstructure arbitrage, and cross-platform arb strategies; Develop and backtest models using historical tick data and NLP; Collaborate with engineering on low-latency infrastructure
Seniority
Mid-Senior, hands-on IC
