Brokerage Risk Analyst Intern (Summer 2027)

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Brokerage Risk team’s mission is to leverage data, automation, and AI to strengthen risk transparency, improve operational resilience, and empower Robinhood to innovate safely. As a Brokerage Risk Intern, you will join a hands-on, technical environment where you’ll build and test real-world risk management tools, analyze live brokerage data, and help automate processes that safeguard our customers and firm. You’ll collaborate with risk managers, engineers, and product teams to design solutions that detect, visualize, and This role is based in our Chicago, IL office with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Build SQL and Python scripts to automate key risk and control processes—such as reconciliations, risk alerts, and supervisory checks. Partner with data engineers and analysts to develop dashboards that visualize real-time risk metrics, exposures, and performance trends. Support data-driven investigations into brokerage risks (e.g., trading anomalies, process breaks, or control failures) and propose solutions. Assist with GenAI-enabled projects—like improving document classification or enhancing automation of books and records, access management, and test account oversight. Present findings and prototypes to senior leaders, showcasing how technology can make risk management faster, smarter, and more scalable. What you bring You’re pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Finance, Engineering, or a related field with an expected graduation date of Winter 2027/Summer 2028. You have foundational experience in SQL and Python and a strong interest in applying these skills to real-world financial and risk problems. You have exposure to automation, machine learning, and AI—and excited to see how they can transform risk management. You’re analytical, precise, and detail-oriented, with the ability to communicate complex data insights clearly to non-technical audiences. You thrive in fast-paced, collaborative environments and demonstrate accountability, curiosity, and ethical judgment in your work. What we offer Market competitive compensation structure Quarterly lifestyle wallet for personal wellness, learning and development, and more Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not Time away including company holidays, paid time off, and sick time Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$29 — $34 USD

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