Job Location - NYC NY (Day One Onsite - Hybrid)

About The Role

• We are seeking a Crypto Financial Crime Data & Functional SME to lead a strategic Financial Crime Compliance (FCC) transformation initiative for a global investment bank.
• The role will be responsible for defining and implementing the firm's crypto financial crime operating model, data architecture, transaction monitoring framework, sanctions controls, and blockchain intelligence integration strategy.
• The ideal candidate will possess deep expertise across Crypto AML, Blockchain Analytics, Sanctions Screening, Transaction Monitoring, Financial Crime Data Models, and Counterparty Intelligence, and will be capable of engaging directly with senior stakeholders across Compliance, Financial Crime, Operations, Data, and Technology functions.

Key Responsibilities

Crypto Financial Crime Strategy & Operating Model

• Define target operating models for Crypto AML, Sanctions, Investigations, and Regulatory Reporting.
• Advise senior stakeholders on crypto financial crime risks, controls, governance, and industry best practices.
• Design operating workflows covering alert generation, triage, investigations, escalation, and case management.
• Develop implementation roadmaps for enterprise crypto compliance programs.

Transaction Monitoring & Sanctions

• Design and optimize crypto transaction monitoring frameworks and detection scenarios.
• Define controls covering, Wallet screening, Sanctions exposure, Mixer/Tumbler activity, High-risk jurisdictions, Layering and obfuscation patterns, Rapid movement of digital assets, Wallet hopping and network relationships, Establish integration between crypto monitoring and traditional fiat AML controls

Blockchain Intelligence & Data Strategy

• Lead design of blockchain intelligence and analytics solutions using platforms such as:
• TRM Labs
• Chain alysis
• Define wallet attribution, entity resolution, clustering, and counterparty identification approaches.
• Design crypto financial crime data models and data governance frameworks.
• Establish crypto risk intelligence and counterparty intelligence capabilities leveraging graph analytics and network analysis.

Key Responsibilities 2

Data & Architecture Leadership

• Define end-to-end data flows across:
• Blockchain data
• Customer/KYC data
• Screening platforms
• Transaction monitoring systems
• Case management platforms
• Design integration architecture between cloud-native crypto solutions and existing on-premise financial crime ecosystems.
• Collaborate with engineering and platform teams to define scalable implementation architectures.

Client & Stakeholder Management

• Lead workshops with business, compliance, operations, and technology stakeholders.
• Serve as trusted advisor to senior financial crime and compliance executives.
• Drive requirements definition, solution design, vendor evaluation, and implementation strategy.

Required Experience

• 10+ years of experience in Financial Crime Compliance, AML, KYC, Sanctions, or Transaction Monitoring.
• 3+ years of hands-on experience in Crypto AML / Blockchain Risk Management.
• Deep understanding of crypto compliance controls within global banking environments.
• Experience working with at least one major blockchain intelligence platform:
• TRM Labs
• Chain analysis

Strong knowledge of

• Crypto transaction lifecycle
• Wallet risk assessment
• Blockchain analytics
• Crypto sanctions compliance
• Financial crime investigations
• Experience defining Transaction Monitoring scenarios and alert review processes.
• Strong understanding of financial crime data models, entity resolution, and counterparty intelligence concepts.
• Proven experience working with large financial institutions and regulatory-driven transformation programs

Preferred Experience

• Experience supporting Tier-1 global banks, investment banks, or systemically important financial institutions

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Salary Transparency

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $99712 to $168716 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

ctively to drive business outcomes.

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $99712 to $168716 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

ctively to drive business outcomes.

For this role, the gross annual base salary range is $99712 to $168716 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors - like your experience, skills, and qualifications - in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.