Quantitative Developer (Affiliated Trading)

Kalshi
New York, New York, United States$150k – $250kPosted 21 February 2026

Job Description

Kalshi is defining a new category Kalshi has defined 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. Role Roadmap Kalshi Trading is an affiliated trading entity that operates across all different categories on Kalshi. We are looking for traders who are either exceptional in their particular niche, or good generalists able to quickly learn how to trade completely new topics as needed. The ideal candidate will have experience with at least a few of the following items: Engineering: building and deploying autonomous systems, especially trading systems low latency programming for trading applications setting up automated data pipelines and ingesting datasets from a variety of fields infrastructure management (AWS stack, SQL databases) accurate bookkeeping or other financial operations experience Modeling: building and deploying statistical forecasting models machine learning, neural networks, or generative AI including LLMs data collection via APIs or web scraping domain expertise in one or more of the categories on Kalshi, such as: sports crypto financials economics weather Trading: Proven track record trading on Kalshi or other prediction markets: consistently positive PL substantial volume traded on an ongoing basis experience making large trades and holding large positions familiarity with the Kalshi API or other trading APIs experience with automated liquidity provision and position management sports betting on traditional bookmakers trading other financial instruments, such as derivatives or cryptocurrencies poker, chess, e-sports, or other competitive games played at a high level The rest of what the role looks like is up to you - a big part of our approach is that you get to chart your path as we grow and evolve. You will have a lot of influence in shaping what both your role and the activity of Kalshi Trading look like as we grow. There's a lot of green field to conquer, we trust that you'll make a lot of it your own. NYC Pay Transparency Disclosure: Salary Range: $150,000 to $250,000 annually plus equity and benefits. This salary range is based on the current available market data and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but a broad range of experience is represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to discuss further. Our Culture Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets. Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1. Commitment to Equal Opportunity Kalshi is committed to creating a culture of ... (truncated, view full listing at source)
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