Kalshi is defining a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history. Kalshi is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more. We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position. Our vision: well… build the largest financial market on the planet. Our mission: bring more truth to the world through the power of markets. Building a new category is hard… like really hard. But it’s beautiful and deeply fulfilling. Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.

  • Plan, build and maintain autonomous systems that execute and support market making strategies on the Kalshi Exchange.
  • Deal with large betting and sports datasets.
  • Build sports forecasting models using game data.
  • Use bookmaker odds data in conjunction with original modeling to generate prices.
  • Program in Python, R, or similar languages for statistical modeling.
  • Build autonomous systems that will dynamically allocate liquidity on the Kalshi Exchange based on outputs from forecasting models and algorithms.
  • Ensure systems are operating reliably and with low latency.
  • Retrieve, organize, store and expose data from the Kalshi Exchange and external data sources.
  • Work with the research team to implement forecasting models and algorithms in scalable and efficient ways.
  • Maintain an organized record of all trades executed by the market maker.
  • 3-7 years of experience building distributed and performance engineering systems.
  • Strong understanding of theoretical trading system design.
  • Programming ability in Python, R, or similar languages for statistical modeling.
  • Experience working in the sports or betting industries preferred.
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