FCC Compliance Risk Analytics Manager
CapgeminiAbout the role
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Location:
Location: New York
Job Description:
The FCC Compliance Risk Analytics Manager will lead and manage multiple AML-focused client engagements, delivering high-quality advisory and analytical solutions. This role requires strong expertise in financial crime compliance, data analytics, and project leadership
Engagement Delivery
- Lead and execute multiple AML-related client engagements, including:
- Model validation (Transaction Monitoring, Sanctions Screening, Customer Risk Rating)
- Model tuning and optimization
- System implementations for AML platforms
- Data reconciliation, lineage tracing, and data quality assessments
- AML program reviews, including policy evaluation, risk assessments, and gap analyses
Project & Team Management
- Oversee day-to-day execution of complex projects
- Manage and mentor teams ranging from 2 to 20 members
- Structure workflows and assign responsibilities to meet deliverables aligned with SOWs
- Ensure timely, on-budget delivery of projects
- Engage and communicate regularly with senior client stakeholders
Core Capabilities
- Advanced SQL proficiency; strong command of Microsoft Office (Excel, Word, Outlook); Python is a plus
- Strong understanding of BSA/AML regulations and financial crime frameworks
- Excellent project management and organizational skills
- Strong analytical, critical thinking, and problem-solving abilities
- Effective communication and interpersonal skills
Technical & Analytical Skills
- Ability to extract and analyze data from multiple systems
- Experience in handling and normalizing both structured and unstructured datasets
- Proficiency in building and analyzing large datasets using SQL (Python is an advantage)
- Hands-on experience in:
- Data Quality testing
- Data Lineage analysis
- Data Reconciliation (source-to-target validation)
- Ability to interpret analytical results, identify patterns, and derive actionable insights
- Capability to clearly articulate findings and their impact on AML frameworks through presentations and reports
Qualifications
- Minimum 7 years of consulting experience
- At least 4 years in financial crime compliance (AML, fraud, sanctions, anti-corruption, etc.)
- Minimum 3 years of team management experience
- MBA preferred (not required)
- CAMS certification strongly preferred
The base compensation range for this role in the posted location is: $75716 to $132762 / per annum.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Perso
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