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.
What We Offer
- Opportunity to work with globally recognized financial institutions.
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