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Full timeFinance

Manager - AML Analytics (Consulting)

CapitexNew York, New York🇺🇸United States

Why this role stands out

This Manager role offers significant opportunities to lead impactful client engagements in AML analytics, honing your skills in model validation, data quality, and regulatory compliance within a reputable consulting firm. You'll thrive here if you possess strong analytical, SQL, and project management expertise, enjoy collaborating with senior stakeholders, and are eager to drive tangible improvements in financial crime prevention. Apply to make a substantial impact on complex projects and advance your career in a dynamic consulting environment.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationNew York, New York, United States
ReconciliationProject Management

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.

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