Data Analyst

About the Role

This opportunity is ideal for candidates from Financial Advisory, Risk Advisory, Quantitative Analytics, Actuarial Consulting, Data Science, Decision Science, and Credit Risk Analytics backgrounds , particularly those who have developed their careers within leading consulting firms and are looking to apply their expertise within one of South Africa's most innovative banks

Responsibilities

• We are particularly interested in professionals with experience in:
• Candidates from the following backgrounds are encouraged to apply:
• Ability to work collaboratively with cross-functional stakeholders
• Python (advantageous
• Partner with the Application Credit Risk team to support credit granting strategies across multiple lending products.
• Translate complex data into actionable insights that improve credit decisioning.
• Contribute to model development, analytical modelling support, and model validation activities.
• Assist in the development, enhancement, and monitoring of application scorecards and decisioning inputs.
• Collaborate with Decision Science teams to improve lending performance and risk outcomes.
• Apply knowledge of regulatory frameworks such as IFRS 9 and Basel when interpreting model outputs and supporting risk strategies.
• Continuously identify opportunities to refine processes and strengthen risk management practices.
• Credit Risk Analytics across the credit lifecycle.
• Application and/or behavioural scorecards.
• Secured and/or unsecured lending portfolios.
• Decision Science, Data Science, Quantitative Analytics, or Risk Analytics.
• Model development, validation, and performance monitoring.
• Banking, financial services, or risk-focused consulting environments.
• Translating analytical findings into practical business decisions.
• Actuarial Consultant, Risk Analyst or Quantitative Analyst
• Data Scientist
• Credit Risk Analyst
• Financial Risk Consultant
• Analytics Consultant
• 5+ years' experience in Data Analytics, Credit Risk Analytics, Lending, Financial Services, or a related field.
• Experience supporting analytical model development and/or validation.
• Experience working with credit decisioning, risk strategies, or scorecards.
• Strong analytical and problem-solving capability.
• SAS
• SQL
• Advanced Excel

Requirements

• Bachelor's Degree in Analytical/Data/Technical or Other
• Clear criminal and credit record

Preferred Qualifications

• Experience building application scorecards.
• Exposure to provisioning methodologies.
• Understanding of ROE-related modelling.
• Exposure to AWS.
• Knowledge of IFRS 9 and Basel frameworks.
• FRM qualification (advantageous).
• Honours Degree in Analytical/Data/Technical or Other
• If you're passionate about using data to drive better credit decisions, enjoy solving complex analytical challenges, and want to contribute to a business where your insights directly influence strategy and outcomes, we'd love to hear from you.