Data Science Head at FNB South Africa

Are you someone who can:

• Establish, align and manage target and budget goals whilst ensuring effective control of costs for a range of functional areas to increase cost efficiency.
• Deliver exceptional service that exceeds customers' expectations through proactive, innovative and appropriate solutions.
• Cultivate and manage objective working relationships with a variety of stakeholders, including end-users, SME’s, project managers and senior staff members by participate in the Retail Credit Risk technical committee.
• Provide guidance on Credit Risk modelling technical issues by maintaining a center of credit risk modelling expertise within the Group.
• Develop business strategies based on data analysis in the Credit Risk environment to proactively identify risks to the bank.
• Monitor changes in legislation, regulations, initiatives and relevant industry practices.
• Ensure drafting and implementation of appropriate interventions.
• Ensure compliance with audit requirements.
• Provide guidance on credit risk modelling technical issues through implementing processes and by driving innovation within the credit risk modelling environment.
• Control the quality and accuracy of all the Actuarial outputs of the team, and ensure the outputs are delivered on time by reporting on increased efficiencies.
• Benchmark current practices against the risk management framework and adjust practices as and when necessary.
• Ensure team implemented and maintained sound business processes that minimize risk and deliver quality requirements specifications.
• Report on and / or find solutions to items resulting from findings by internal or external audit and client management risk by presenting at several senior level ExCo’s.
• Plan and manage performance, skills development, employment equity, talent and culture of team to improve innovation, achieve efficiencies and increase competencies.
• Manage personal development to increase own skills and competencies.
• Create strategic roadmaps and plans for achievement of outputs/ deliverables in collaboration with business stakeholders.
• Lead and co-ordinate new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.
• Lead, co-ordinate and provide input into the development of governance and compliance procedures and processes and identify risk within assigned area of accountability.
• Create line of business partnership model with relevant CDAO offices, business leaders and stakeholders to mature analytics within assigned area of responsibility.
• Ensure adoption and localization of common frameworks, practices, processes, standards and integration of analytics value chain at relevant enabler level.
• Accountable for monetization of analytics and insights at the relevant Exco level within area of responsibility.
• Accountable for metadata; data quality; security and analytics practices as it relates to specific analytics products across line of business leveraging existing structures and capabilities.
• Lead analytics function for big complex areas (i.e., spans multiple domains/ segments/ sub-segments, size of projects, touchpoints, etc.) to create actionable insights that informs business decisions across line of business within area of responsibility.
• Ensure analytics is in accordance with the approved FirstRand architecture.
• Ensure Platform alignment, governance, policy standards alignment and integration across segment and cross-segment BUs within assigned area of responsibility.
• Lead and encourage business conversation regarding use cases, model usage, implementation of relevant practices etc.
• Lead prioritization of analytics projects within area of responsibility.
• Chair relevant analytical forums as necessary (e.g. technical committees).
• Ensure ethical usage of data insights that complies to restrictions applied for privacy and sensitivity classification.
• Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
• Provide subject matter expertise and thought leadership in area of expertise.
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
• Engage in cross-functional relationships to obtain and to provide work support.
• Contribute to sustaining a competitive edge through external networking, benchmarking and representation on related forums.
• Demonstrate leadership behaviour through personal involvement, commitment and dedication in support of organizational values.
• Manage team or teams in areas of responsibility in delivery against performance targets and achievement of wider human capital objectives.
• Develop, encourage and nurture collaborative relationships across business areas and across the group.

You will be an ideal candidate if you have:

• Minimum Qualification: Minimum Qualification bachelor’s degree in actuarial sciences or data sciences
• Experience: 5 – 8 years of experience, 3 – 5 years in a management position leading analytical and/or data professionals
• Preferable candidates will have a post graduate qualification and or be a Qualified Actuary.

You will have access to:

• Opportunities to network and collaborate.
• Challenging work environment.
• Opportunities to innovate.
• Work with leading edge tools within data science

We can be a match if you are:

• Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough.
• Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.

End Date: July 27, 2025