AML Data Engineer

Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, or related field.

4+ years of experience in AML/Financial Crime domain

Strong knowledge of AML processes like transaction monitoring, KYC/CDD, sanctions screening, and regulatory frameworks (FATF, OFAC, EU, etc.).

Proven expertise in Python for data analysis, automation, and integration with AML platforms.

Advanced skills in Oracle PL/SQL including stored procedures, performance tuning, and complex SQL queries.

Hands-on experience with AML platforms (e.g., FCRM, Actimize, Mantas, SAS AML) is preferred.

Strong problem-solving skills and ability to work under regulatory timelines.

Excellent communication, stakeholder management, and team leadership abilities.

Work on the design, development, and enhancement of AML solutions to support regulatory compliance and financial crime prevention.

Participate in end-to-end delivery of AML initiatives including requirement gathering, solution design, testing, and production support.

Develop and optimize Python scripts for data analysis, automation, and AML rule enhancements.

Write Complex SQL queries for transaction monitoring, reporting, and data integration.

Collaborate with compliance teams to translate regulatory requirements into effective system rules and workflows.

Monitor performance of AML systems, identify data quality issues, and implement improvements.

Provide technical leadership and mentoring to junior developers and analysts.

Coordinate with stakeholders (compliance, operations, IT) to ensure AML solutions meet business and regulatory expectations.

Lead root cause analysis and remediation for AML-related incidents and regulatory findings.

Stay updated with industry best practices, AML regulations, and emerging technologies to recommend innovative solutions.