To support Portfolio Managers with the scored and intuitive lending strategies by collating, designing and developing credit risk reports to give insights across the credit lifecycle. To increase operational efficiencies in credit by use of data to support process automation and effective decision making. To enhance credit risk management by implementing fraud controls and conducting detailed analysis on the drivers of portfolio performance

Key Outputs
• Develop high quality consistent structured risk reports to inform management decisions.
• Investigate credit scoring rules to determine the extent to which they achieve their intended risk mitigation purpose.
• Analyse credit portfolio to identify key risks and opportunities within the portfolio.
• Stay abreast of industry and market developments, by participating in debate, research and other engagements to maintain awareness of industry

QUALIFICATIONS
Minimum Qualifications
• Type of Qualification: First Degree
• Field of Study: Finance and Accounting, Mathematics, Statistics, Actuarial Science, Economics

Preferred Experience
• 1-2 years
• Experience in a data science and data analytics related role
• 1-2 yearsExperience in a financial services environment

ADDITIONAL INFORMATION
Behavioral Competencies:
• Articulating Information
• Checking Details
• Establishing Rapport
• Examining Information
• Following Procedures
• Interacting with People
• Interpreting Data

Technical Competencies:
• Data Management (Administration)
• Data Quality
• Quality Orientation
• Risk Reporting
• Written Communication