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Fionics is seeking a Prediction Markets Researcher to build models pricing events across sports, politics, and other markets. You will quantify edge, validate pricing accuracy, and work with traders to deploy strategies that respond to live market conditions.
You should think in probabilities and expected value, with strong statistics and Python proficiency. Prior success comes from precise numbers and relentless curiosity about market movement.
Prediction markets are the fastest-moving corner of trading right now, and the firms winning in them all need the same scarce thing: people who can actually price an event.
We're hiring a Prediction Markets Researcher for a firm building a serious sports and event-contract book.
Build the models that price events, sport, politics, whatever the market throws up. Find edge, quantify it, and work with traders to put it into live strategies. Watch how these markets really move and stay ahead of it.
Someone who thinks in probabilities and expected value. That might be a quant researcher from a trading firm, a sharp sports modeller from a book or syndicate, or someone who's been quietly beating Kalshi and Polymarket on their own. Strong stats, comfortable in Python, and genuinely obsessed with getting the number right.
You don't need years in prediction markets. Almost nobody has them. You need the raw ability and the obsession.
Real ownership of your work, a seat in a market that's still being built, and comp that reflects the edge you bring.