Summary
A Chicago-based prediction markets firm, actively trading on leading venues such as Kalshi and Polymarket, is seeking a Quantitative Developer to sit at the intersection of engineering, data, and trading. This role will focus on building and maintaining the quantitative infrastructure that supports market making, pricing, and trading decisions. The ideal candidate brings a strong Python skillset, a rigorous mathematical foundation, and prior experience in a trading or similarly quantitative environment.
Responsibilities
• Design, build, and maintain quantitative tools and systems that support trading, pricing, and risk management
• Act as a technical bridge between the trading desk, data team, and core engineering group to translate ideas into production-ready solutions
• Develop and optimize data pipelines, models, and analytics used in real-time and research workflows
• Partner with traders to implement and iterate on strategies, market insights, and performance monitoring tools
Qualifications
• 2+ Year of experience in either a Quant Dev or market facing SWE role
• Strong proficiency in Python, with experience writing clean, efficient, and production-quality code
• Solid background in mathematics, statistics, or a closely related quantitative discipline
• STEM degree from a highly regarded university (top-25 preferred)
