Scored Lending Analyst
Summary
Manages credit risk and portfolio performance for Scored Lending, preparing reports and driving data-driven decisions through monitoring trends and risk indicators. Requires expertise in credit data analytics, data extraction/visualization using SQL/SAS/Python/PowerBi.
Lead and oversee the Scored Lending portfolio by managing credit risk, portfolio performance, and policy adherence within the Bank's risk appetite. Prepare and deliver high-quality credit risk and portfolio reporting to management and governance committees. Drive data-driven decision-making through continuous monitoring of portfolio trends, risk indicators, and emerging risks to support sustainable growth.
Type of Qualification: First Degree
Field of Study: Statistics, Mathematics, Actuarial Science, Economics, Finance, Data Science, Banking, Accounting, Computer Science, or a related quantitative discipline.
Experience Required
5-7 years
- Credit Data Analytics within consumer banking.
- Experience in (preferably Digital consumer credit) data exploitation and business intelligence development and implementation
- Experience in the extraction, transformation and visualisation of data using bank approved toolsets e.g. SQL/SAS/Python/PowerBi
Behavioural Competencies:
- Articulating Information
- Documenting Facts
- Examining Information
- Exploring Possibilities
- Interpreting Data
- Managing Tasks
- Providing Insights
- Team Working
Technical Competencies:
- Data Management
- Evaluating Risk Management Effectiveness
- Risk Awareness
- Risk Management
- Risk Reporting
- Statistical & Mathematical Analysis