AML Analytics Consultant

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. - A dynamic and collaborative consulting environment. - Flexible working arrangements. - Exposure to innovative AML technologies and strategic projects. Originally posted on Himalayas