Senior Director

Job Description

K2 Integrity is seeking an experienced compliance professional with deep subject matter expertise in transaction monitoring, sanctions screening, and blockchain analytics program design (rule setting, governance, pre/post implementation testing) and model risk management/ validation. Sitting within FCRM Advisory, this individual will serve as the practice’s go-to subject-matter expert and project execution lead across several cross-functional areas (traditional finance, fintech, crypto verticals).

This individual will be responsible for designing and optimizing detection rules, validating model performance, documenting methodologies, and ensuring compliance with applicable regulatory requirements, including the New York Department of Financial Services (NYDFS) Part 504 annual certification requirements and other applicable U.S. AML/BSA, OFAC, FinCEN, FFIEC, and industry best practices.

This is a rare seat for a practitioner who is genuinely bilingual across traditional finance (tradfi) and crypto. You will validate the analytics that banks, stablecoin issuers, and payments firms rely on to detect financial crime — from Actimise and Oracle Mantas to Chainalysis, TRM Labs, and Elliptic — and translate a fragmented set of client needs into a consistent, defensible, and scalable methodology that the firm can deploy at speed and at margin.

What sets this role apart: we are looking for someone who can do both tradfi and crypto — not one or the other. The ideal hire pairs deep, hands‑on experience validating blockchain-analytics rule settings with rigorous TM rule design and coverage assessment discipline, has already built a scalable methodology, and actively leverages AI to deliver better, faster, and more defensible outcomes.

This is a remote role in the US.

• 7+ years of experience in AML model validation, transaction monitoring rule design, sanctions screening, model risk management, and financial crimes compliance, with at least 2 years of hands‑on experience in blockchain-analytics settings/model review, including validating and configuring blockchain-analytics rule settings (Chainalysis, TRM Labs, Elliptic, or comparable)
• Bachelor’s degree in a relevant field or international equivalent
• Strong knowledge of model risk management standards / regulatory methodological fluency including:
• OCC Bulletin 2026-13 (Model
  
  Risk Management:
  
  Revised Guidance) and its risk‑based, principles‑based approach (and SR 11-7 / OCC 2011-12)
• DFS Part 504
• FFIEC BSA/AML Examination Manual
• OFAC “Framework for OFAC Compliance Commitments” and sanctions screening expectations
• A mixture of consulting and in‑house expertise, with hands‑on experience across both crypto/digital-asset firms and traditional financial institutions
• Demonstrated experience performing coverage assessments tailored to a client’s risk profile, designing transaction monitoring scenarios, rule implementation, and alert optimization methodologies
• Demonstrated experience in sanctions screening rule tuning and list governance
• Experience supporting regulatory examinations and annual compliance certifications
• Excellent analytical, documentation, and stakeholder management skills
• Hands‑on platform experience across traditional TM, sanctions screening, and blockchain analytics systems
• Strong technical and data skills, including ability to independently write and review queries to support ATL/BTL testing, rule replication, and data‑lineage validation
• Strong understanding of statistical validation techniques, data analysis, and model performance metrics
• Familiarity with Snowflake, Databricks, or comparable warehouses;
  Tableau/Power BI for outcomes analysis and reporting
• AI governance mindset: thinks about AI governance and is comfortable reasoning about how model‑risk principles apply to AI/ML systems preferred
• Prior experience with fraud risk models and graph analytics preferred
• AI/ML literacy sufficient to validate ML‑based TM or fraud models under model‑risk principles (bias, drift, explainability) preferred
• A portable book of work or referral relationships from a prior industry or consulting seat preferred