AML Analytics Lead | Financial Crime Advisory

Capitex; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Capitex is seeking a Manager to lead AML analytics engagements within FCC Analytics. You will own day-to-day delivery, validate models, test data quality, and conduct programme reviews with rigorous, structured execution.

You will manage multiple engagements, lead teams of 2–20, and communicate findings to senior stakeholders, ensuring on-time, on-budget delivery in a consulting-driven finance environment.

Qualifications

• Must have 7+ years of consulting experience.
• At least 4 years in financial crime (AML, sanctions, etc).
• 3+ years of people management experience.
• CAMS strongly preferred; MBA preferred but not required.

Responsibilities

• Manage day-to-day execution across multiple complex engagements.
• Lead project teams of 2–20 people and allocate tasks to meet SOW deliverables on time and budget.
• Interact with senior client stakeholders and present findings clearly in writing and verbally.

Skills

SQL

Python

BSA/AML regulations

Data quality testing

Data lineage

Data cleaning

Stakeholder communication

Project management

Education

CAMS

MBA (preferred)

7+ years consulting experience

4+ years in financial crime

Tools

None

Job description

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.