VP/AVP, Data Scientist - Group Legal, Compliance and Secretariat

About the role

The Group Legal, Compliance and Secretariat (LCS) protects the bank's interests by safeguarding its reputation and capital and maintaining good standing with regulators, customers and partners. Reporting to the Machine Learning lead, this senior data scientist leads data science and machine learning initiatives for LCS across selected verticals, working with senior management, business users and technology partners to build the strategy and roadmap for applying AI/ML to improve financial crime surveillance.

Key responsibilities

• Own and execute machine learning products and initiatives regionally for Group LCS in selected verticals.
• Develop analytics models and solutions for Financial Crime, Legal and Compliance, such as anti-money laundering networks, transaction monitoring, fraud prevention, money mule detection and sanctions screening.
• Partner with domain experts and cross-functional data scientists to drive projects.
• Turn analysis into actionable insights for decisions, strategy and standards that improve LCS performance.
• Ensure adherence to AI/ML governance, including code review, reusable assets, data governance, post-deployment monitoring and regular reviews.
• Mentor junior team members.

Required profile

• Degree focused on machine learning, data mining or statistical/mathematical modelling.
• 8+ years of experience, with the last 5+ years on hands-on data analytics or AI/ML development.
• End-to-end data science project experience, from problem formulation and exploration to deployment, monitoring and support.
• Able to explain technical concepts to non-technical audiences and work in an agile environment under constraints.

Required skills

• Python, PySpark, SQL, ML libraries, data visualisation and dashboards.
• Cloud platforms and AI-assisted development tools.
• Machine learning pipelines with versioning, branching, linting, testing and modular code.
• Understanding of legal and compliance issues in complex banking organisations is a plus.