The Financial Crimes Team at Robinhood works across a number of verticals in an effort to protect our customers, and ensure compliance with all relevant Anti-Money Laundering (AML) and Sanctions rules and regulations. As our team of passionate professionals continues to evolve the program, we are focused on leveraging innovative thinking and technology to create a best-in-class Financial Crimes Program.

The Model Validation Specialist will collaborate with various teams across Financial Crimes and business line verticals to validate existing surveillance systems, write thorough and concise validation reports for model stakeholders, construct new surveillance scenarios, and support other applicable regulatory requirements within Financial Crimes.

What you’ll do day-to-day:

Perform analysis of various financial crimes surveillance models and filtering programs through extensive reviews targeting model development, functionality, and change management. Assess model conceptual soundness, including model limitations and assumptions, assure end-to-end data integrity, test model implementation accuracy and performance, and review governance/controls. Write effective validation reports clearly explaining the theory and logic behind model design decisions, analyses performed, implications of validation results and valuable recommendations to model stakeholders. Support Financial Crimes surveillance teams responsible for sanctions screening, fund based and crypto transaction monitoring as well as equity, derivative, and virtual currency trade based surveillance. Conduct code reviews to substantiate new and existing surveillance scenarios within various technology solutions. Research and deploy data analytics or intelligent methods to solve complex problems related to alert generation and logic optimization. Strategize and develop new surveillance methodologies in collaboration with the Surveillance team where vendor-based solutions are not available or where efficiencies can be gained. Work across Financial Crimes and business partners to create responsive solutions in a timely manner for new regulatory guidance applicable to our lines of business. Engage in strategy sessions to continue expanding and enhancing the Financial Crimes Program. About you:

Bachelor’s Degree or equivalent, in a relevant field 2+ years experience in the design, optimization, and validation of models within a regulatory framework; preferably in Fintech or traditional financial industry Familiarity with modeling techniques, financial markets, risk management, data science and AI Strong SQL writing skills and working knowledge in Python or other programming language Excellent analytical skills with a strong drive for identifying root cause and providing actionable feedback Effective verbal and written communication skills, particularly related to business and technical subject matter Team player who inspires others to do their best Ability to effectively manage multiple priorities Bonus points:

A strong grasp of Broker Dealer, MSB, and/or Digital Currency Exchange operations CAMS, Securities License(s), or similar certifications Practical experience with FinCrimes surveillance and filtering solutions: NICE Actimize, Nasdaq Trade Surveillance System (NTS), LexisNexis Bridger, Jira/Confluence, or similar systems

This role is also eligible for an annual discretionary bonus and participation in Robinhood’s equity plan.

Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. Please note, some of our roles are open to additional levels which would impact the expected base pay.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.