Compliance Technology Oversight Lead

Block Block · Fintech · NJ · Remote · 30305 Risk - Compliance - Cash App

This role focuses on providing end-to-end technical oversight and effective challenge for compliance detection and AI resolution models within a regulated financial institution. The Lead will partner with Engineering and ML teams to build defensible solutions, ensure regulatory alignment, and oversee the design and development of real-time monitoring dashboards for model health and performance. Key responsibilities include managing incidents, documenting for regulatory review, and establishing standards for model tuning and testing.

What you'd actually do

  1. Provide E2E technical oversight for all compliance detection and AI resolution models, so they align with regulatory expectations.
  2. Partner with cross-functional teams (Engineering, ML, and Analytics) to build defensible solutions for Transaction Monitoring, Customer Risk Scoring and Sanctions Screening.
  3. Provide Effective Challenge during model development
  4. Ensure that documentation is created in line with regulatory expectations, and is always ready for review by third parties, and aligns with guidance such as OCC 2011-12 and SR 11-7.
  5. Oversee the design and development of real-time dashboards to monitor model health - including input data monitoring and ongoing model performance.

Skills

Required

  • 10+ years of experience in compliance technology at Regulated Financial Institutions, or as a consultant working for FI's.
  • Experience with both Machine Learning and Heuristic models across Transaction Monitoring, Sanctions Screening and Customer Risk Scoring Models
  • Experience in conducting Threshold Tuning and Initialization exercises
  • Input Data Quality Monitoring
  • Model Performance Monitoring
  • AML Model Validations, in line with SR 11-7 and OCC 2011-12
  • Experience in responding to Exams and working with Regulators
  • Deep understanding of regulated financial services and corresponding compliance obligations
  • Familiarity with statistical concepts related to machine learning
  • Expertise in data analytics and visualization

Nice to have

  • Experience with agile development methodologies

What the JD emphasized

  • regulatory expectations
  • OCC 2011-12
  • SR 11-7
  • AML Model Validations

Other signals

  • compliance technology
  • Machine Learning and Heuristic detection models
  • model development lifecycle
  • regulatory expectations
  • real-time dashboards to monitor model health