Data Analyst, Financial Crimes & Identity

📋 Description

• Analyze financial crimes and identity risk metrics across onboarding and lifecycle
• Leverage data to identify trends, typologies, and control performance
• Lead development of risk strategies across KYC, identity verification, and segmentation
• Partner with Product, Eng, Data Science, and Ops to implement decisioning logic
• Build dashboards and monitoring frameworks to track performance and anomalies
• Collaborate with data science and ML teams to support risk models and automation

🎯 Requirements

• 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 building dashboards or monitoring frameworks (Looker, Tableau, or similar)
• Familiarity with customer onboarding/KYC processes and identity verification concepts
• Strong analytical, problem-solving, and cross-functional communication skills

🎁 Benefits

• Four days in-office and Fridays from home for those near one of our offices
• In-office perks including backup care and subsidized commuter benefit
• 401k match and medical/dental/vision/life/disability benefits
• Generous vacation, Chime Days, and paid time off
• 1% of time off to support community organizations
• Annual wellness stipend for eligible expenses