Senior Data Scientist

Sanlam GoTyme is a strategic financial services partnership that brings together Sanlam's trusted expertise in insurance, credit, and financial wellness with GoTyme's innovative digital banking capabilities to create a seamless, client‑centred financial ecosystem. By integrating banking, credit, rewards, savings and protection solutions into a single experience, we aim to empower South Africans to manage their financial lives more effectively while building long‑term financial confidence, loyalty and prosperity.

This role sits within the Sanlam Go Tyme  business and is ideal for a quantitative analyst with a background in credit risk modelling and analytics who is passionate about using data to drive better credit decisions and business outcomes. Working closely with business and technical stakeholders, you will develop, enhance, and implement analytical solutions across the credit risk lifecycle. You will leverage advanced statistical techniques, data analytics, and programming expertise to solve complex business challenges, generate actionable insights from large datasets, and support strategic decision‑making.

• A strong understanding of the end‑to‑end credit risk lifecycle and the application of analytics to support business decisions.
• Experience in pricing, profitability analysis and portfolio analytics will be advantageous.
• Strong programming skills in SQL.
• Experience in Python is preferred. Candidates with strong SAS programming experience and a demonstrated ability to transition to Python are encouraged to apply.
• Strong statistical modelling, data analysis and problem‑solving skills.
• Experience working with large, complex datasets and transforming data into meaningful business insights.
• Excellent communication and stakeholder engagement skills, with the ability to explain complex analytical concepts to both technical and non‑technical audiences.

• Honours degree in Statistics, Mathematics, Data Science, Actuarial Science, Quantitative Risk Management or another closely related quantitative discipline.
• A Master’s degree in a quantitative field (such as Quantitative Risk Management, Statistics, Mathematics, Data Science or Actuarial Science) will be advantageous.
• 5 or more years’ experience in credit risk analytics or credit risk modelling.

• New technologies and methodologies
• Data Mining
• IT Data Analysis
• Advanced analytics to address business requirements
• Predictive Analytics

• Interpersonal savvy – Contributing independently
• Decision quality – Contributing independently
• Optimises work processes – Contributing independently
• Plans and aligns – Contributing independently

• Being resilient – Contributing independently
• Collaborates – Contributing independently
• Cultivates innovation – Contributing independently
• Customer focus – Contributing independently
• Drives results – Contributing independently

Our commitment to transformation

The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.