Description

You will develop and validate AML models for transaction monitoring, name matching, and customer risk scoring.

This role is on-site.

Responsibilities

• Develop rule-based, statistical, or machine learning models for AML scenarios.
• Perform rule fine-tuning, optimization, and validation activities.
• Assess data quality and recommend improvements at the source.
• Prepare end-to-end model documentation and coordinate with auditors.
• Propose recommendations to improve monitoring systems based on risk gaps.

Required Skills

• 5+ years of experience in financial crime, specifically AML.
• Hands-on expertise with SQL, ETL, SAS, Python, and R.
• Strong scripting and automation experience using SAS, Python, or R.
• Statistical modeling experience including regression and time series analysis.
• Detailed knowledge of data analysis, analytics, and mining techniques.
• Proven ability to manage projects and coordinate across multiple business units.

Preferred Skills

• Prior experience in financial crime risk assessments.
• Strong networking, negotiation, and influencing skills.

Key Skills

Education

Any Graduate