Brokerage Risk Analyst Intern (Summer 2027)
About The Position
Robinhood is seeking bold thinkers and sharp problem-solvers for an elite team applying frontier technologies to the world’s biggest financial problems. The Brokerage Risk team aims to strengthen risk transparency, improve operational resilience, and empower Robinhood to innovate safely through data, automation, and AI. As a Brokerage Risk Intern, you will work in a hands-on, technical environment, building and testing risk management tools, analyzing brokerage data, and automating processes to safeguard customers and the firm. You will collaborate with risk managers, engineers, and product teams to design solutions for detecting and visualizing risks. This role is based in the Chicago, IL office, requiring at least 3 days per week of in-person attendance, as Robinhood believes in the power of in-person work to accelerate progress, spark innovation, and strengthen community.
Requirements
- 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.
- Foundational experience in SQL and Python.
- Strong interest in applying SQL and Python skills to real-world financial and risk problems.
- Exposure to automation, machine learning, and AI.
- Analytical, precise, and detail-oriented.
- Ability to communicate complex data insights clearly to non-technical audiences.
- Thrive in fast-paced, collaborative environments.
- Demonstrate accountability, curiosity, and ethical judgment in your work.
Nice To Haves
- Excited to see how automation, machine learning, and AI can transform risk management.
Responsibilities
- 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, 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.
Benefits
- 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
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
