About the company
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, 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: wellā¦ build the largest financial market on the planet. Our mission: bring more truth to the world through the power of markets. 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.
Job Summary
About the role:
Kalshi is looking for a Research Intern to support our research and data initiatives around prediction markets and event-based financial products. This role is ideal for graduate or PhD students in economics, statistics, or related quantitative fields who are interested in applying rigorous data analysis to real-world markets.
You'll work closely with Kalshi's research and product teams to analyze market behavior, build datasets, develop analytical tools, and contribute to research that improves the design and performance of our markets.
This is a part-time, in-person internship (20 hours/week) based in our office in lower Manhattan.
Responsibilities:
šConduct quantitative analysis on prediction market data to identify trends, patterns, and insights šBuild and maintain data pipelines and research datasets using SQL and Python šDevelop data visualizations and analytical tools to explore market behavior šSupport research projects related to market design, pricing dynamics, and forecasting accuracy šCreate interactive visualizations using TypeScript visualization libraries to communicate research findings šCollaborate with product, engineering, and research teams to translate analysis into actionable insights
Requirements:
šCurrently enrolled in a graduate or PhD program in economics, statistics, finance, mathematics, computer science, or a related quantitative field šStrong proficiency in data analysis and statistical reasoning šExperience working with SQL and Python for data analysis šFamiliarity with data visualization libraries in TypeScript or modern web frameworks šAbility to work independently and clearly communicate analytical results šInterest in financial markets, forecasting, or prediction markets
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