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Senior Director

K2 Integrity · United States · 2026-08-03

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About this role

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 USA.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 504

Apply 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 profile

Develop 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 workflows

Serve 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 monitoring

Translate risk assessments into defensible detection scenarios and document the rationale for coverage decisions

Partner 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 tuning

AI-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 adjacency

Team development and cross-training: upskill existing resources to scale delivery

Client-facing polish: present findings with authority to CCO/BSAO stakeholders, boards, and regulators

Market Eminence: Monitor emerging financial crime typologies, regulatory guidance, and industry practices to continuously enhance detection capabilities, and contribute to firm thought leadership as needed

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 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 asked for

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