Brokerage Risk Analyst Intern

Robinhood

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Employment
Intern
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $141k
$95k most similar roles pay here $187k

This listing doesn't post a salary. Most similar roles pay $104,000–$177,900.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 45 open roles on FindRole.

Listed pay typically runs $196,000–$230,000 across 42 roles with salary data.

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At a glance

TL;DR · Brokerage Risk Analyst Intern

The Brokerage Risk Analyst Intern (Summer 2027) joins the Brokerage Risk team to strengthen risk transparency and operational resilience through data, automation, and AI. In this technical role, you will build and test real-world risk management tools, analyze live brokerage data, and automate processes such as reconciliations, risk alerts, and supervisory checks. You will collaborate with engineers and product teams to develop dashboards for visualizing real-time metrics and conduct investigations into trading anomalies or control failures. The work involves GenAI-enabled projects like improving document classification and automating access management. To succeed, you must possess foundational skills in SQL and Python, along with exposure to machine learning and AI. You will translate complex data insights into clear presentations for senior leaders while solving critical problems regarding brokerage risk and firm safety.

What you'll do

  • Develop SQL and Python scripts to automate risk management processes like reconciliations and supervisory checks.
  • Create dashboards with data engineers to visualize real-time risk metrics and performance trends.
  • Conduct data-driven investigations into trading anomalies, process breaks, and control failures.
  • Execute GenAI projects to improve document classification and automate access management systems.
  • Propose technical solutions to enhance the speed and scalability of risk management operations.
  • Present findings and prototypes to senior leadership to showcase technological improvements in risk oversight.

What we're looking for

  • Pursue a Bachelor’s or Master’s degree in Data Science, Computer Science, Finance, Engineering, or a related field.
  • Expected graduation date must be between Winter 2027 and Summer 2028.
  • Foundational experience in SQL and Python is required.
  • Exposure to automation, machine learning, and AI (preferred).
  • Ability to communicate complex data insights clearly to non-technical audiences.
  • Analytical, precise, and detail-oriented mindset.

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