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Data Solutions & Validation Sr. Specialist

Robinhood· Financial Crimes
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Hybrid (Denver, CO; New York, NY; Westlake, TX)$120k - $141kFull-timePosted 2mo ago

About the role

Senior specialist role focusing on validation, testing, tuning, and optimization of transaction monitoring and filtering programs within Robinhood’s Financial Crimes/AML program including collaboration with Engineering, Data Science, and cross-functional teams.

Responsibilities

  • Model Validation & Review Execution: Perform independent, rigorous quantitative and qualitative analyses of rule-based and machine learning financial crimes surveillance models, filtering systems, and detection logic targeting model design, algorithm soundness, data integrity, and change management
  • Technical Review & Remediation: Act as a technical bridge within a fast-paced fintech environment by leveraging data engineering, data modeling, and infrastructure; collaborate with software and data engineers to decipher complex logic, evaluate model implementations, test data pipelines, and support remediation of model issues
  • Optimization & Model Tuning: Calibrate and enhance surveillance models through tuning methodologies and statistical analyses, reduce false positives while maximizing risk detection
  • Logic & Data Integrity Assurance: Conduct data validation and logic testing to ensure data quality and end-to-end reliability of data pipelines feeding compliance models
  • Subject Matter Expertise: Serve as AML and Model Risk SME, providing domain insights and supporting partners in understanding model logic, performance, and risk trade-offs
  • Cross-Functional Collaboration: Build partnerships across engineering, product, and compliance to ensure technically sound solutions aligned with risk tolerance
  • Change & Issue Management: Uphold policies for change and issue management with end-to-end traceability and defensible documentation for audits/regulators
  • AI Strategy & Tech-Forward Adoption: Leverage AI tools, LLMs, and automation to enhance productivity and deliverables
  • Documentation & Reporting: Produce validation reports, change/issue documentation, and executive summaries explaining model theory, testing logic, performance, and recommendations

Qualifications

  • Bachelor's Degree or equivalent in a quantitative, technical, or financial field (e.g., Computer Science, Data Analytics, Statistics, or Finance)
  • 5+ years of experience across AML, Financial Crimes, or risk management with focus on model validation, quantitative analysis, or surveillance system management
  • 3+ years of direct experience in verification/validation/testing/tuning of AML rule-based systems and/or machine learning models; working knowledge of Model Risk Management (MRM) principles and governance
  • Proficiency in SQL and experience with programming languages or tools (e.g., Python, R) for data queries, statistics, and model evaluation
  • Excellent verbal and written communication skills; ability to explain technical concepts to non-technical partners; ability to manage multiple priorities

Skills

Required:SQLPython or RAML / Financial Crimes knowledge

Benefits

  • Challenging, high-impact work
  • Performance-driven compensation with multipliers, bonus programs, equity ownership, 401(k) matching
  • 100% paid health insurance for employees; 90% coverage for dependents
  • Lifestyle wallet for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, mental health benefits
  • Paid time off including holidays, PTO, sick time, parental leave
  • Exceptional office experience with catered meals, events, and comfortable workspaces
Last updated Sep 30, 2026. Interested? Apply on the company site.

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