Compliance Data & Models Lead

Remote · USA Full-time New today

Job Description:

Own end‑to‑end model governance, tuning, testing, and documentation for transaction monitoring, blockchain monitoring, sanctions/watchlist screening, and customer risk rating models.
Design and maintain scalable SQL models in Snowflake for above governance areas
Familiarity with programming for data analysis, ideally Python or R.
Maintain documentation on system integrations and data lineage, partner with the Data team on data quality controls
Run and continuously refine model change‑management processes (change logs, approvals, pre/post‑implementation testing, evidence capture) to OCC‑style standards.
Lead or co‑lead key Model Risk Management (MRM) policy and procedure uplift and regulatory readiness workstreams, consolidating and modernizing frameworks based on external feedback.
Partner with Data, Product, Engineering, and Compliance to design and enhance technology controls across AML, sanctions, KYC, Travel Rule, and to resolve data or tooling issues.
Build and maintain Compliance dashboards and reporting, define system performance and health metrics (including data quality and backlog/SLA metrics), and implement QA processes.
Serve as a key liaison to key vendors (e.g., Chainalysis, Elliptic, ComplyAdvantage, Solidus, Persona) on testing, tuning, and data issues.

Requirements:

~7–10+ years overall experience in data/analytics and/or Financial Crime/Compliance.
At least 3–5 years directly focused on AML/sanctions/Financial Crime technology or models in a bank, fintech/crypto, or RegTech.
Strong SQL in a modern data warehouse
Hands‑on experience with AML/sanctions/Financial Crime systems (e.g., TM, sanctions screening, blockchain analytics, CRR).
Experience designing and executing model tuning and testing (thresholds, fuzziness, scenario design, performance analysis).
Familiarity with model governance concepts (lifecycle, documentation, change management, validations).
Exposure to OCC‑style model risk guidance and/or DFS 504‑type requirements.
Demonstrated ability to work cross‑functionally with Product, Engineering, Data, and Operations.
Excellent written communication for policies, procedures, testing reports, and exam/audit responses.

Benefits:

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