Brokerage Risk Analytics Intern — Data & AI Tools

Rainfall Ventures; Chicago (IL); On-site; USD 40,000 - 47,000; Part time

Benefits offered by this job

Competitive pay

AI tools access

Paid time off

Commuter benefits

Catered meals

Job summary

Robinhood is building an elite Brokerage Risk team in Chicago. This hands-on, technical environment lets you build risk management tools, analyze live brokerage data, and help automate processes that safeguard customers and the firm.

You’ll collaborate with risk managers, engineers, and product teams to design solutions that detect, visualize, and govern risk at scale. GenAI-enabled projects are part of the journey.

Qualifications

• Pursuing Bachelor's or Master's in data science, CS, finance or engineering with expected graduation Winter 2027/Summer 2028.
• Foundational SQL and Python experience; eager to apply to real-world finance and risk problems.
• Exposure to automation, ML, and AI; excited to transform risk management.
• Analytical, precise, and capable of communicating data insights to non-technical audiences.
• Thrives in fast-paced, collaborative environments with accountability and curiosity.

Responsibilities

• Build SQL and Python scripts to automate risk and control processes.
• Develop dashboards with data engineers to visualize real-time risk metrics.
• Support investigations into brokerage risks and propose solutions.
• Assist with GenAI-enabled projects like document classification and automation.
• Present findings to senior leaders on scalable risk management solutions.

Skills

SQL

Python

Automation

Machine learning

AI

Education

Bachelor’s or Master’s degree in data science or CS

Job description

Robinhood is building an elite Brokerage Risk team in Chicago. This hands-on, technical environment lets you build risk management tools, analyze live brokerage data, and help automate processes that safeguard customers and the firm.

You’ll collaborate with risk managers, engineers, and product teams to design solutions that detect, visualize, and govern risk at scale. GenAI-enabled projects are part of the journey.