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A massive hiring wave reveals trading firms are no longer viewing Polymarket as a niche betting tool

DRW, Wintermute and others are hiring for prediction markets as volume surges on Polymarket and Kalshi.

By Oliver Knight·Jun 6·coindesk.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Giants quant firms are building out prediction market trading desk. (Modified by CoinDesk)
Giants quant firms are building out prediction market trading desk. (Modified by CoinDesk)Image: coindesk.com

Quant trading firms are building desks around prediction markets, but the focus is not on forecasting events. They are chasing price gaps, cross-platform delays and short-term moves on Polymarket, Kalshi and similar venues.

Why it matters

This shows prediction markets are becoming a real trading venue for institutional crypto-native firms, not just a betting oddity. Rising professional participation could change liquidity, pricing speed and competition across Polymarket and related markets.

Big trading companies are starting to treat betting markets like a busy store where prices change fast. They are not trying to guess the winners as much as noticing when one place has a price that is out of sync with another, then acting quickly before the gap closes.

Analysis

Prediction markets are getting institutional treatment

DRW, Wintermute, IMC and other trading firms are hiring for prediction-market roles, signaling that platforms like Polymarket and Kalshi are starting to look like a serious venue for professional traders. The article says these firms are not mainly trying to forecast who wins a sports event or election. Instead, they are applying the same style of trading used in crypto and traditional finance: spotting mispricings, moving fast and profiting before prices converge.

The opportunity is in inefficiency

The report points to large volume growth as the key draw. Polymarket alone reportedly handled between $22 billion and $40 billion across politics, economics and sports in 2025, compared with almost nothing three years earlier. Sports markets are now a major part of that activity. The piece cites several examples, including more than $730 million combined in volume across the UEFA Champions League winner, the 2026 NBA champion and the 2026 NHL Stanley Cup markets.

The article also gives a concrete mismatch example. On May 14, Andy Burnham’s odds moved on Polymarket hours after Betfair had already priced in the shift. That gap, the story says, is exactly the kind of cross-market inefficiency quant firms want to exploit. Harry Crane of Rutgers, who studies prediction-market calibration, argues that specialized sports betting groups still set much of the true pricing accuracy, while institutions are likely making money from short-term dynamics rather than superior event prediction.

What this means for the market

The hiring wave suggests prediction markets are maturing into a venue where speed, infrastructure and trading skill matter more. The article also notes that exchanges and venues are preparing for more activity, including ahead of the 2026 World Cup, with onchain exchanges such as HyperLiquid part of the broader buildout.

Key points

  • DRW, Wintermute and IMC are hiring for prediction-market trading roles.
  • The firms are targeting Polymarket, Kalshi and similar venues as trading opportunities, not just betting products.
  • The article says the edge comes from exploiting pricing inefficiencies and cross-platform delays.
  • Polymarket’s volume has surged sharply, with sports markets now accounting for a large share of activity.
  • Experts quoted in the piece say specialized sports bettors still drive much of the pricing accuracy.
The Upside

If more professional firms bring better tools and faster trading to prediction markets, liquidity could improve and prices could update more quickly. That may make Polymarket and similar venues feel more mature and usable for a wider set of participants.

The Downside

The same institutional trading that can add liquidity may also make the market harder for casual users to trade in, especially if fast firms harvest obvious pricing gaps. If the market becomes dominated by short-term arbitrage, it may still not become a better predictor of event outcomes.

Originally reported at

coindesk.com

Discernion covers the story. Read the full piece at the source.

Tagscryptobusinessfinancemarketstradeunited-states

Author

Oliver Knight

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 6, 2026

Source

coindesk.com

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Topics

cryptobusinessfinancemarketstradeunited-states

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