Data Analyst, Financial Crimes & Identity

Chime Chime · Fintech · San Francisco, CA · Risk

This role focuses on analyzing and monitoring financial crimes and identity risk metrics, leveraging data to inform strategy improvements, and partnering with cross-functional teams to implement and scale decisioning logic and controls. It involves building dashboards and monitoring frameworks, and supporting model development by collaborating with Data Science and Machine Learning teams.

What you'd actually do

  1. Analyze and monitor Financial Crimes and Identity risk metrics across onboarding and lifecycle controls
  2. Leverage data to identify trends, emerging typologies, and control performance to inform strategy improvements
  3. Lead the development and optimization of risk strategies across KYC, identity verification, and customer segmentation
  4. Partner with Product, Engineering, Data Science, and Operations to implement and scale decisioning logic and controls
  5. Build dashboards and monitoring frameworks to track performance and identify anomalies

Skills

Required

  • SQL
  • Data analysis
  • Risk management
  • Financial Crimes (AML, KYC, identity, fraud)
  • Dashboarding (Looker, Tableau, or similar)
  • Customer onboarding/KYC processes
  • Identity verification concepts

Nice to have

  • Machine Learning collaboration

What the JD emphasized

  • 5+ years of experience in analytics, risk, or Financial Crimes (AML, KYC, identity, fraud, or related domains)
  • Strong SQL skills and experience working with large datasets to drive insights
  • Experience developing or optimizing risk strategies, decisioning logic, or rule-based systems
  • Experience analyzing risk metrics (e.g., approval rates, false positives, downstream fraud signals)