Description

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

Responsibilities

• Develop rule-based, statistical, or machine learning models and perform rule fine-tuning and optimization.
• Assess data quality for model development and recommend improvements at the source.
• Prepare end-to-end model documentation and perform validation activities.
• Coordinate with auditors and model development teams to ensure compliance with AML and Enterprise Modeling Governance standards.
• Propose recommendations to improve monitoring systems based on identified risk and control gaps.

Required Skills

• 5+ years of experience in financial crime, specifically within the AML area.
• Experience developing, validating, and managing risk for anti-money laundering models.
• Hands-on expertise with SQL, ETL, SAS, Python, and R for working with large datasets.
• 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.
• Strong written and verbal communication skills for stakeholder management.

Preferred Skills

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

Key Skills

Education

Any Graduate