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 Actimize 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. Job Requirements 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 equivalentStrong 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 504FFIEC BSA/AML Examination ManualOFAC “Framework for OFAC Compliance Commitments” and sanctions screening expectationsA mixture of consulting and in-house expertise, with hands-on experience across both crypto/digital-asset firms and traditional financial institutionsDemonstrated experience performing coverage assessments tailored to a client’s risk profile, designing transaction monitoring scenarios, rule implementation, and alert optimization methodologiesDemonstrated experience in sanctions screening rule tuning and list governanceExperience supporting regulatory examinations and annual compliance certificationsExcellent analytical, documentation, and stakeholder management skillsHands-on platform experience across traditional TM, sanctions screening, and blockchain analytics systemsStrong technical and data skills, including ability to independently write and review queries to support ATL/BTL testing, rule replication, and data-lineage validationStrong understanding of statistical validation techniques, data analysis, and model performance metricsFamiliarity with Snowflake, Databricks, or comparable warehouses; Tableau/Power BI for outcomes analysis and reportingAI governance mindset: thinks about AI governance and is comfortable reasoning about how model-risk principles apply to AI/ML systems preferredPrior experience with fraud risk models and graph analytics preferredAI/ML literacy sufficient to validate ML-based TM or fraud models under model-risk principles (bias, drift, explainability) preferredA portable book of work or referral relationships from a prior industry or consulting seat preferred Job Responsibilities Model Risk Management & Model Validation Own MRM and model validation engagements end-to-end — pre- and post-implementation testing, ongoing validation, and periodic re-validation — aligned to current interagency guidance, including OCC Bulletin 2026-13 and state standards such as NY-DFS Part 504Apply a risk-based, materiality-driven approach consistent with OCC Bulletin 2026-13, tailoring the depth of validation and effective challenge to the complexity and materiality of each model and the client’s risk profileDevelop and maintain model governance documentation, validation reports, and audit-ready workpapers Blockchain-Analytics Tool Validation (priority focus) Hands-on validation, configuration, and tuning of tools such as Chainalysis (KYT), TRM Labs, Elliptic (Lens), and Merkle Science, including rule library configuration, exposure/typology thresholds, risk-scoring logic, and integration into TM and case-management workflowsServe as the firm’s credible SME on validating crypto models and blockchain-analytics settings Transaction Monitoring Program Design & Tuning Design and calibrate rule sets and perform coverage assessments that map TM/sanctions coverage to the client’s specific business activity, products, customers, and geographies (never a one-size template)Lead threshold calibration, above-/below-the-line (ATL/BTL) testing, and pre- and post-implementation validation, through to ongoing monitoringTranslate risk assessments into defensible detection scenarios and document the rationale for coverage decisionsPartner with Compliance, Financial Crimes, Risk, Data Science, Product, and Engineering teams to implement and enhance monitoring and screening capabilities Sanctions Screening Validation Validate and tune sanctions screening systems — list management, fuzzy-matching parameters, threshold tuning, filter logic testing, and name-matching algorithm review (ideally with experience across a variety of vendors) Methodology, AI Enablement, and Cross-Training Expertise Scalable methodology ownership: build, maintain, and continuously improve a consistent, repeatable methodology across MRM, validation, TM design, and sanctions tuningAI-enabled delivery: leverage AI to improve the speed, consistency, and defensibility of testing, sampling, and documentation, positioning the practice for the emerging AI model-validation adjacencyTeam development and cross-training: upskill existing resources to scale deliveryClient-facing polish: present findings with authority to CCO/BSAO stakeholders, boards, and regulatorsMarket Eminence: Monitor emerging financial crime typologies, regulatory guidance, and industry practices to continuously enhance detection capabilities, and contribute to firm thought leadership as needed