Compliance Data & Models Lead
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:
• Offers Equity
• Offers Bonus
• 15% annual bonus
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Apply To this Job
• 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:
• Offers Equity
• Offers Bonus
• 15% annual bonus
Apply tot his job
Apply To this Job