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.

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.