Head: Financial Crime Analytics

• Develop a High-Performing Team: Cultivate a centre of excellence for financial crime analytics by identifying, attracting, and retaining top quantitative talent. Maintain a high-performing team by conducting career conversations, applying talent grid principles, and developing retention programmes.
• Foster Growth and Retention: Implement talent development programmes and encourage knowledge sharing in areas like machine learning, statistical modelling, and data science. Build depth of skills and knowledge by sharing insights across the team.
• Drive Transformation: Champion Nedbank's transformation goals, aligning team development with B-BBEE and employment equity targets. Contribute to a culture of transformation through participation in Nedbank initiatives and CSI.
• Promote a Culture of Innovation: Encourage constructive debate and continuous improvement of financial crime detection models, systems, and processes.
• Performance Management: Manage departmental performance through clear vision, performance agreements, and accountability structures. Identify development needs and ensure continuous improvement by challenging the status quo.

• Model Development & Optimisation: Oversee the lifecycle of financial crime models including transaction monitoring, customer risk rating, sanctions screening, and fraud detection.
• Advanced Quantitative Analytics: Lead and drive the development and application of a sophisticated analytical framework to uncover and pre-empt complex financial crime patterns, anomalies, and emerging threats. Leverage a diverse quantitative toolkit that encompasses advanced statistical modelling, network science, and Natural Language Processing, including the implementation of targeted machine learning techniques to enhance detection accuracy and operational efficiency.
• Data-Driven Insights: Translate analytical outputs into actionable intelligence for stakeholders.
• Scenario Tuning & Validation: Ensure models are rigorously tested and calibrated to balance risk detection and false positives.

• Regulatory Adherence: Support Nedbank in ensuring compliance with FICA, FIC, PA, and other relevant regulatory requirements.
• Model Risk Management: Maintain governance frameworks for model documentation, validation, and performance monitoring.
• Reporting & MI: Deliver high-quality MI and regulatory reporting on financial crime controls and risk exposure.
• Compliance & Decision-Making: Ensure compliance and make quality, timely decisions aligned with business strategy.

• Business Alignment: Collaborate across Group Risk and business units to ensure analytical solutions are aligned with strategy.
• Strategic Advisory: Provide quantitative insights to inform financial crime risk appetite and strategic initiatives.
• Vendor Management: Manage vendor contracts and performance to ensure value for money.

• Efficiency & Optimisation: Identify resource inefficiencies and promote optimisation through multi-skilling and capacity gap management.
• Budget Management: Manage departmental budgets (where applicable) and introduce new business initiatives to improve revenue.
• Service Delivery: Deliver services that meet internal client expectations and foster a client-centric culture.
• Process Enhancement: Enhance systems and processes to support strategic goals.

• A postgraduate degree (Honours) in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related discipline.

• An equivalent of a Master's degree or higher in a relevant quantitative field.
• Relevant certifications.

• Minimum 8-10 years of experience in a quantitative analytics environment.
• At least 3-5 years of leadership experience, managing a team of technical specialists.
• Proven experience in developing and implementing scorecard or statistical or machine learning models in a banking or financial services context.

• Programming & Data Manipulation: High proficiency in languages like Python, and experience with SQL for complex data extraction and manipulation.
• Advanced Analytical & Modelling Strategy: A deep, strategic command of a broad spectrum of advanced quantitative techniques, with the proven ability to direct a team on their selection and application to solve complex business problems.
• Financial Crime Systems: In-depth understanding of the architecture and functionality of financial crime systems (e.g., transaction monitoring, screening engines, case management).

• Entrepreneurship
• Sharing Responsibility
• Strategic Influence
• Cultivating Networks and Partnerships
• Compelling Communication
• Driving Execution

Nedbank