Data Analyst, Financial Crimes & Identity
About The Position
We are hiring for a Senior Analyst to drive data-informed risk strategy on our Financial Crimes & Identity team. As our Sr. Analyst, you will lead efforts to strengthen identity verification, customer onboarding, and lifecycle risk management by leveraging data to inform decisioning and control performance. You’ll partner closely with cross-functional teams to scale risk strategies that protect our members while maintaining a seamless and secure experience. The base salary offered for this role and level of experience will begin at $109,000.00 and up to $150,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
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 analyzing risk metrics (e.g., approval rates, false positives, downstream fraud signals)
- 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
Responsibilities
- Analyze and monitor Financial Crimes and Identity risk metrics across onboarding and lifecycle controls
- Leverage data to identify trends, emerging typologies, and control performance to inform strategy improvements
- Lead the development and optimization of risk strategies across KYC, identity verification, and customer segmentation
- Partner with Product, Engineering, Data Science, and Operations to implement and scale decisioning logic and controls
- Build dashboards and monitoring frameworks to track performance and identify anomalies
- Collaborate with Data Science and Machine Learning teams to support model development and automation of risk processes
- Support identity verification vendor strategy through performance analysis, testing, and optimization
Benefits
- Bonus
- Competitive equity package
- Backup child, elder, and/or pet care
- Subsidized commuter benefit
- 401k match
- Medical benefits
- Dental benefits
- Vision benefits
- Life benefits
- Disability benefits
- Generous vacation policy
- Company-wide Chime Days
- Company-wide paid days off
- 1% of your time off to support local community organizations
- Annual wellness stipend
- Up to 24 weeks of paid parental leave for birthing parents
- 12 weeks of paid parental leave for non-birthing parents
- Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more
- In-person and virtual events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
