A wave of hiring by major trading firms like DRW, Wintermute, and IMC signals that prediction markets such as Polymarket and Kalshi are no longer niche betting tools but legitimate trading venues. These quantitative firms are not focused on predicting event outcomes; instead, they exploit market inefficiencies like cross-platform arbitrage and microstructure trading. Polymarket alone processed $22–40 billion in 2025, with sports markets like Champions League ($256M), NBA ($399M), and Stanley Cup ($79M) driving volume. Experts argue institutional capital does not improve market accuracy but profits from short-term pricing gaps. For example, a mismatch between Polymarket and Betfair on a UK political contract allowed arbitrage opportunities. Structural features like information lag and liquidity fragmentation create profit windows. Firms use models like Dixon-Coles Poisson for soccer and Bayesian Hierarchical for basketball to identify mispricing. Despite skepticism that specialized bettors remain sharper, the talent migration is underway as crypto market makers and traditional sports analysts converge.

Key facts

• DRW, Wintermute, IMC build prediction market desks for Polymarket and Kalshi.
• Quant firms target cross-platform arbitrage and microstructure inefficiencies.
• Polymarket hit $22-40B volume in 2025; sports markets dominate.
• Institutions exploit price lags between Polymarket and Betfair.
• Models like Dixon-Coles Poisson identify mispricing for profit.