As a Brokerage Risk Intern at Robinhood, you will work in a hands-on, technical environment focused on building and testing risk management tools. The Brokerage Risk team aims to enhance risk transparency and operational resilience using data, automation, and AI. You will collaborate with risk managers, engineers, and product teams to develop solutions that address real-world financial risks. This role is based in Chicago, IL, with an emphasis on in-person collaboration to foster innovation and community.

• You are 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 are excited to see how they can transform risk management.
• You are 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.

• 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, including trading anomalies, process breaks, or control failures, and propose solutions.
• Assist with GenAI-enabled projects, such as 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.