AML Analytics Consultant

Capitex · United States · posted today ago

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About this role

Job Title: AML Analytics Consultant (Contractor)

Location: Hybrid / Remote (Global Client Base)

Engagement Type: Contract / Consultancy

Duration: 6-12 months (with potential extension)

Rate: Competitive (based on experience)

About the Role

We are seeking an experienced AML Analytics Consultant with strong SQL and data analytics capabilities to join a global consulting firm. In this role, you will work alongside high-profile financial institutions, supporting them in the design, development, and optimization of Anti-Money Laundering (AML) analytics and data-driven solutions.

This is an exciting opportunity for a contractor or independent consultant with hands-on experience in AML analytics, a solid grasp of financial crime compliance, and a deep understanding of data manipulation and reporting.

Key Responsibilities

Partner with client teams to assess existing AML systems, analytics tools, and monitoring models.
Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.
Extract, transform, and analyze large datasets to detect suspicious patterns or unusual behavior.
Assist in the development of dashboards, reporting tools, and data visualizations to present key AML insights.
Translate regulatory and risk requirements into technical data solutions.
Provide advisory support on AML system tuning, calibration, and effectiveness reviews.
Collaborate with cross-functional teams including compliance, risk, IT, and business units.
Deliver clear documentation and findings to both technical and non-technical stakeholders.

Key Requirements

Proven experience in AML/Financial Crime analytics, ideally within consulting or large financial institutions.
Strong SQL skills and experience handling large datasets across multiple systems.
Proficiency in tools such as Python, R, SAS, or similar (desirable but not required).
Experience with transaction monitoring systems (Actimize, FICO, SAS AML, etc.) is a plus.
Deep understanding of AML regulations, typologies, and industry standards.
Strong analytical thinking with the ability to solve complex problems using data.
Excellent communication and stakeholder management skills.
Self-starter with the ability to work independently in a fast-paced, client-facing environment.

Preferred Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, Finance, or a related field.
Certifications in AML (e.g., CAMS) or related compliance frameworks are advantageous.