Analytics Lead, Strategic Insights (Compliance)

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Own the design, operation, and governance of automated compliance monitoring: translate regulatory obligations into rule-based detective controls that run on defined frequencies, surface exceptions, and produce audit-ready evidence.
• 2
  Serve as the primary data owner for regulatory examinations, licensing audits, and bank partner exam requests: scope requests into defined populations and extraction logic, validate results across source systems, document methodology and assumptions, and support responses through multi-round follow-ups under external deadlines.
• 3
  Triage monitoring exceptions and data anomalies, distinguishing true compliance exceptions from data artifacts and process gaps, route findings to the appropriate resolution path, and support remediation through validation and evidence review.
• 4
  Map automated checks to specific regulatory requirements, converting query logic into control statements that feed the compliance control inventory and close the loop between monitoring exceptions and tracked compliance issues.
• 5
  Drive the automation roadmap: identify recurring manual reporting and repeat data requests and convert them into automated pipelines and self-service tools, applying AI-assisted development with disciplined human-in-the-loop validation.
• 6
  Steward the compliance data environment: adjudicate source-of-truth questions, resolve data access and quality constraints, and maintain the query repository, runbooks, and methodology documentation.

RequirementsAI-extracted

• 5+ years in compliance analytics, monitoring or surveillance, transaction testing, audit analytics, or a comparable data role in consumer lending, banking, fintech, or another regulated industry.
• Advanced SQL and hands-on experience with a modern cloud data stack such as Snowflake and Databricks, including building and operating automated pipelines, dashboards, and data quality checks.
• Working knowledge of consumer credit regulations such as TILA/Reg Z, ECOA/Reg B, EFTA/Reg E, FCRA, SCRA, MLA, TCPA, and state lending, licensing, and usury requirements, and the ability to convert those obligations into data logic.
• Bidirectional fluency: ability to read a regulation and know the data question it implies, and read a data anomaly and know the regulatory question it raises.
• Evidence-grade rigor: ability to reconcile, validate, reproduce, and document work so it stands up to examiners and auditors, and deliver regulatory or audit data under hard deadlines with multi-round follow-ups.
• AI fluency: ability to use AI-assisted development tools to accelerate query building, troubleshooting, and workflow automation, and validate outputs before relying on them.

Perks & BenefitsAI-extracted