Design, develop, and maintain AML product features and modules ensuring scalability, reliability, and compliance with regulatory standards
Document AML Data mapping from Source to AML
Collaborate with compliance and risk teams to translate AML rules and regulatory requirements into technical specifications
Implement and optimize transaction monitoring systems, alert generation mechanisms, case management tools, and customer risk scoring features
Integrate AML product solutions with internal and external data sources, including sanctions lists, watchlists, and transaction data feeds
Continuously improve AML product performance through data analysis, tuning detection algorithms, and refining workflows
Work closely with data scientists and analysts to implement machine learning models and analytics for enhanced detection of suspicious activities
Provide technical troubleshooting, root cause analysis, and swift resolution of AML product issues
Ensure AML product security, data privacy, and audit readiness
Support product QA, user acceptance testing (UAT), and participate in release management
Keep abreast of evolving AML regulations, industry trends, and emerging technologies to innovate product capabilities
Document system designs, processes, and code in accordance with company standards
Perform other duties and/or special projects as assigned.

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field
Proven experience (3+ years) in software engineering with a focus on financial crime, AML, or regulatory technology products
Strong programming skills in languages such as Java, Python, or C#
Experience with AML software platforms (e.g., Actimize, SAS, NICE, or equivalent) is a plus
Knowledge of AML regulatory requirements (e.g., BSA, FATF, OFAC sanctions) and risk typologies
Familiarity with transaction monitoring systems, alert workflows, case management, and KYC/CDD processes
Experience with databases (SQL/NoSQL), APIs, and integration of external data services
Understanding of machine learning/AI applications in AML is preferred
Excellent problem-solving, communication, and teamwork skills
Ability to work in an agile development environment.

AVP, Product Engineer – AML

Key skills