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About the Role

K2 Integrity is seeking an experienced compliance professional with deep subject matter expertise in transaction monitoring, sanctions screening, and blockchain analytics program design and model risk management/validation. This individual will serve as the practice’s go-to subject-matter expert and project execution lead across traditional finance and crypto verticals, designing and optimizing detection rules, validating model performance, and ensuring compliance with regulatory requirements.

Responsibilities

• 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
• 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
• 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
• 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
• Validate and tune sanctions screening systems — list management, fuzzy-matching parameters, threshold tuning, filter logic testing, and name-matching algorithm review
• Build, maintain, and continuously improve a consistent, repeatable methodology across MRM, validation, TM design, and sanctions tuning
• Leverage AI to improve the speed, consistency, and defensibility of testing, sampling, and documentation
• Upskill existing resources to scale delivery
• Present findings with authority to CCO/BSAO stakeholders, boards, and regulators
• 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)
• 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
• 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
• 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

Skills

• Transaction monitoring
• Sanctions screening
• Blockchain analytics program design
• Rule setting
• Governance
• Pre/post implementation testing
• Model risk management
• Model validation
• AML/BSA
• OFAC
• FinCEN
• FFIEC
• NYDFS Part 504
• Actimize
• Oracle Mantas
• Chainalysis
• TRM Labs
• Elliptic
• Snowflake
• Databricks
• Tableau
• Power BI
• Fraud risk models
• Graph analytics
• AI/ML

Location

• New York

Work Type

• Hybrid

Experience Level

• 7+ years of experience
• 2 years of hands-on experience in blockchain-analytics settings/model review

Education Level

• Bachelor’s degree in a relevant field or international equivalent

About the Company

• K2 Integrity is a leading provider of financial integrity solutions.