AI/ML Engineer – AML & Financial Crime Compliance

Job Description:

We are seeking an experienced AI/ML Engineer with strong hands-on coding and data analysis skills to develop and optimize machine learning models for Anti-Money Laundering (AML), sanctions screening, transaction monitoring, and financial crime compliance.

Key Responsibilities:

• Develop, train, test, and optimize ML models using Python, machine learning libraries, and advanced analytics techniques.
• Analyze large transactional datasets to identify anomalies, risk indicators, and opportunities to reduce false-positive alerts.
• Perform feature engineering, model validation, performance monitoring, and data quality analysis.
• Collaborate with compliance, data engineering, development, and testing teams to improve model accuracy and reliability.
• Prepare Business Requirements Documents (BRDs), data mapping documents, functional specifications, and model documentation.
• Create and manage user stories in Jira, support Agile delivery, participate in UAT, and troubleshoot testing issues.
• Communicate technical findings, document model assumptions and limitations, and support audit and regulatory requirements.

Required Skills:

• Strong hands-on Python programming and Machine Learning experience.
• Experience with data analysis, feature engineering, model evaluation, and statistical techniques.
• Knowledge of AML, sanctions screening, transaction monitoring, or financial crime analytics.
• Experience preparing BRDs, data mapping documents, and functional requirements.
• Familiarity with SQL, Jira, Agile methodologies, UAT, and model monitoring.
• Excellent communication, analytical, documentation, and stakeholder management skills.