Head: Financial Crime Analytics
Head: Financial Crime Analytics
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1 Vacancy
Job Description
Requisition Details & Talent Acquisition Consultant
REQ 141734 Thembi Mtshali
Location: Johannesburg
Job Family
Career Stream
Leadership Pipeline
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 Nedbanks integrity ensuring regulatory compliance and enhancing the effectiveness of the financial crime risk management framework in alignment with Nedbanks risk appetite strategic objectives and transformation goals.
Job Responsibilities
Strategic Leadership & Team Management
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 Nedbanks 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.
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.
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 Masters 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.
- 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).
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
Preference Recruiting Team atwill be given to candidates from the underrepresented groups
Please contact the Nedbank.
Please contact the Nedbank Recruiting Team at
Employment Type
Full Time
