Head: Financial Crime Analytics

**Requisition Details & Talent Acquisition Consultant**
- REQ 141734 Thembi Mtshali
- Location: Johannesburg

Job Family
- Investment Banking
- Career Stream
- Quantitative
- Leadership Pipeline
- Manage Managers

**Job Purpose**
- To lead a specialist team of quantitative analysts in developing, implementing, and optimising advanced data-driven solutions that proactively detect, prevent, and manage financial crime risks. This role is pivotal in safeguarding Nedbank’s integrity, ensuring regulatory compliance, and enhancing the effectiveness of the financial crime risk management framework in alignment with Nedbank’s risk appetite, strategic objectives, and transformation goals.

**Responsibilities**:
**Strategic Leadership & Team Management**
- 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.

**Quantitative Modelling & Analytics**
- Model Development & Optimisation: Oversee the lifecycle of financial crime models including transaction monitoring, customer risk rating, sanctions screening, and fraud detection.
- 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.

**Governance, Risk & Compliance**
- 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.

**Stakeholder Management & Business Partnership**
- 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.

**Operational Excellence**
- 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.

**Essential Qualification**
- A postgraduate degree (Honours) in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related discipline.
- Preferred Qualification
- An equivalent of a Master's degree or higher in a relevant quantitative field.
- Relevant certifications.
- Minimum Experience Level
- 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.
- Technical / Professional Knowledge
- Programming & Data Manipulation: High proficiency in languages like Python, and experience with SQL for complex data extraction and manipulation.
- Financial Crime Systems: In-depth understanding of the architecture and functionality of financial crime systems (e.g., transaction monitoring, screening engines, case management).
Data Visualisation: Expertise in using tools like Tableau, Power BI, or Python libraries (e.g., Plotly, Matplotlib, Seaborn) to communicate complex findings effectively.
- Regulatory Knowledge: Understanding of the South African financial crime regulatory environment and global standards (e.g., FATF recommendations).
- Behavioural Competencies
- Entrepreneurship
- Sharing Responsibility
- Strategic Influence
- Cultivating Networks and Partnerships
- Compelling Communication
- Driving Execution

**Disclaimer**