Data Scientist III (Credit Risk & IFRS 9)

About

Description

Hello, Future Data Scientist! Welcome to FNB, the home of the #changeables. We are seeking an expert Data Scientist with a deep quantitative background to play a critical role in our credit risk framework. This position is central to supporting our Broader Africa (bA) teams with sophisticated stress testing, ICAAP processes, and IFRS 9 impairment modelling. You will be responsible for developing robust frameworks, providing expert review and challenge, and delivering insights that directly inform capital management and strategic decision-making across multiple countries.

Responsibilities

• Stress Testing & ICAAP:
• Develop and maintain a consistent credit risk stress testing framework for Broader Africa teams
• Model and assess the impact of stress testing and scenario analysis on Expected Credit Loss (ECL)
• Review, support, and challenge the execution of the annual ICAAP stress testing process, evaluating impacts on credit losses, capital adequacy, and risk-weighted assets
• Provide sign-off on modelling and assessments performed by in-country teams
• Review the overall outcome of stress testing to inform capital targets and challenge existing frameworks
• Collaborate with Finance and Credit teams to ensure accurate IFRS 9 provisioning and provide insights into ECL trends and drivers
• Stakeholder Engagement:
• Assist bA teams in presenting complex findings to senior management, risk committees, and regulators
• Collaborate effectively with Finance, Treasury, and Business Units to align stress testing outputs with strategic planning

Qualifications

• Essential: An advanced degree (Master’s or PhD) in Statistics, Mathematics, Data Science, Econometrics, or a related quantitative field
• Essential: Proven and strong experience in credit risk, IFRS 9 impairment modelling, and Expected Credit Loss (ECL) calculations within the financial services or banking sector
• Essential: Demonstrated ability to work effectively across multiple countries and collaborate with diverse, cross-functional teams
• The ideal candidate is curious, courageous, and obsessed with mastery in their field

Application instructions:

• Apply now before the closing date of 25 August 2025. Take note: Applications will not be accepted after the closing date.