Manager - AML Analytics (Consulting)
Capitex · New York, New York, United States · 2026-06-08
About this role
Manager, AML Analytics
Financial Crime Compliance | Consulting
Overview
We are looking for a Manager to join our Financial Crime Compliance (FCC) Analytics practice, taking ownership of the day-to-day delivery of AML-focused client engagements. The role spans model validation and tuning, data quality testing, and programme reviews — with a strong emphasis on analytical rigour and structured project execution.
Key Responsibilities
Manage day-to-day execution across multiple complex, simultaneous engagements
Lead project teams of 2–20 people, structuring and assigning tasks to meet SOW deliverables on time and on budget
Interact with senior client stakeholders, presenting findings clearly in both written and verbal formats
Engagement Types
Model validation of Transaction Monitoring (TM), Sanctions Screening, and Customer Risk Rating (CRR) models
Tuning and optimisation of TM, Sanctions Screening, and CRR models
System implementations across TM, Sanctions, and CRR platforms
Data reconciliation, data lineage, and data quality testing
AML programme reviews — policies and procedures, gap analysis, and risk assessments
Skills & Capabilities
Strong SQL skills with the ability to build and analyse large datasets; Python advantageous
Solid understanding of BSA/AML regulations
Experienced in data quality, data lineage, and source-to-target reconciliation testing
Ability to clean and normalise both structured and unstructured data
Able to interpret analytical findings in the context of an institution's AML framework and communicate conclusions clearly to stakeholders
Strong project management, problem solving, and interpersonal skills
Qualifications
Minimum 7 years of consulting experience
Minimum 4 years in financial crime — AML, fraud, sanctions, anti-bribery/corruption
3+ years managing teams
CAMS strongly preferred
MBA preferred but not required
Equal Opportunities
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status, in accordance with applicable law.
Skills asked for
- python
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