About the role
AI summarisedThe VP, AML Risk Analytics & Modelling role is a senior compliance position at a bank, responsible for leading the development and implementation of AML risk analytics and modelling frameworks to detect and prevent financial crime.
BusinessFull-timeGeneral
Key Responsibilities
- Lead the development and enhancement of AML risk analytics and modelling frameworks.
- Design and implement advanced analytical models for transaction monitoring and suspicious activity detection.
- Oversee the validation and tuning of AML models to ensure effectiveness and regulatory compliance.
- Collaborate with business units and technology teams to integrate analytics into AML systems.
- Provide strategic insights and recommendations to senior management on AML risk trends.
- Manage a team of data scientists and analysts to deliver high-quality analytics solutions.
- Ensure adherence to regulatory requirements and industry best practices in AML modelling.
- Drive innovation in AML analytics through research and adoption of new technologies.
Requirements
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or Data Science.
- Minimum 10 years of experience in AML risk analytics, modelling, or related fields within banking or financial services.
- Strong expertise in statistical modelling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with AML transaction monitoring systems and regulatory reporting.
- Excellent leadership and team management skills.
- Strong understanding of AML regulations and guidelines (e.g., MAS, FATF).
- Ability to communicate complex analytical concepts to non-technical stakeholders.
- Proven track record of developing and deploying risk models in a production environment.
- Certification in AML (e.g., CAMS) is preferred.