Analytics Lead, Strategic Insights (Compliance)
New
A
AffirmFintech, Banking
Remote USFull-TimeLead
SalaryUSA base pay range (CA, WA, NY, NJ, CT) per year: $145,000 - $205,000; USA base pay range (all other U.S. states) per year: $128,000 - $188,000
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeDatabricks
Requirements
- 5+ years in compliance analytics, monitoring, surveillance, transaction testing, or audit analytics in consumer lending or banking.
- Advanced SQL proficiency.
- Hands-on experience with modern cloud data stacks (e.g., Snowflake, Databricks).
- Experience building and operating automated pipelines, dashboards, and data quality checks.
- Working knowledge of consumer credit regulations (TILA/Reg Z, ECOA/Reg B, EFTA/Reg E, FCRA, SCRA, MLA, TCPA).
- Ability to convert regulatory obligations into automated data logic.
- Evidence-grade documentation skills with experience supporting regulatory exams under deadlines.
- Experience with AI-assisted development tools for query building and workflow automation.
- Experience training, guiding, or reviewing the work of junior analysts.
- Builder disposition with comfort in ambiguity and self-directed prioritization.
Responsibilities
- Own the design, operation, and governance of automated compliance monitoring, translating regulatory obligations into rule-based detective controls.
- Serve as the primary data owner for regulatory examinations, licensing audits, and bank partner exam requests.
- Triage monitoring exceptions and data anomalies, distinguishing true compliance exceptions from data artifacts.
- Map automated checks to specific regulatory requirements, closing the loop between monitoring exceptions and tracked compliance issues.
- Drive the automation roadmap, identifying manual reporting needs for conversion into automated pipelines and self-service tools.
- Steward the compliance data environment, maintaining query repositories, runbooks, and methodology documentation.
- Provide technical direction, training, and quality review for a supporting data analyst.
- Partner with Engineering, Legal, and Product teams to resolve data quality questions and expand monitoring coverage.
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