Data Scientist at FNB South Africa

Job Description

• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

Role purpose

• We're on the lookout for a talented Data Scientist III to join our FNB Connect Credit team with an understanding of Credit Risk models and be able to perform tasks that include model development, validation, forecasting, reporting and presenting at governance committees.

Are you someone who

• Develops innovative, fit-for-purpose advanced analytical solutions to improve business efficiency and outcomes.
• Build, document, validate, implement and maintain statistical models (PD, LGD, EAD) and applicable processes to address specific business requirements and ensure relevance and accuracy in evolving business contexts.
• Plan and perform regular model updates that capture evolving business complexity in current models.
• Identify and commercialize untapped data opportunities to support strategic and revenue-generating initiatives.
• Reporting and monitoring of provision movements, along with required forecasting exercises.
• Drive process optimisation and automation of team processes.
• Collaborate and manage internal/ external audit engagements when required.
• Collaborate with stakeholders to identify and understand business problems, translate these into tangible models and translate technical outputs into business insights.
• Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.
• Strong communication skills and ability to present clearly, concisely to both technical and non-technical audiences.
• Delivers high-quality, reliable outputs within set timelines—prioritizing accuracy, clarity, and impact
• Build collaborative relationships across departments to support operational delivery and strategic alignment.
• Act as a subject matter expert, assist junior analysts and contribute to knowledge-sharing communities.

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 to take action.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.
• A team player – you believe in the power of teams, building and leveraging your networks.
• Emotionally intelligent – you are able to connect with people to build trust

As a #Changeable you will have access to

• Opportunities to network and collaborate.
• Opportunities to innovate.
• Flexible working environment
• Focus on health and wellbeing.
• Coaches and mentors to help with your professional development.
• A very generous leave policy to cater for your individual needs.
• Preferential employee banking rates that include Vehicle and Home loans

Qualifications and Experience

• Minimum qualification: Bachelors degree in Mathematics, Statistics, Actuarial Science or related degree
• Experience: 6 - 8 years' relevant Data Science experience within a Credit Risk environment essential
• Strong knowledge and experience of IFRS 9 regulatory framework
• Relevant experience in Impairments and Capital Provisioning is required
• End to end Impairment model development experience will be advantageous
• Proven experience of having validated, optimised or recalibration of Impairment models is essential
• Intermediate to advanced level proficiency in SAS
• Intermediate to advanced level of proficiency in SQL
• A keen interest in the relation between capital & provisions and financial reporting will be beneficial.

End Date: February 7, 2026