Main Purpose

To ensure continuous fostering and disseminating of the RCS credit portfolio intellectual property through the application of advanced statistical analysis.

Key Responsibilities

• Work within a team of Risk Analysts on best practice credit risk management principles and statistical analysis
• Undertake analysis to determine the impact of strategy changes to areas of application and account management strategies
• Development of predictive models aimed at the optimisation of risk decision-making
• Present ideas via reports and presentations, outlining findings and making recommendations for improvements to senior stakeholders
• Investigate data integrity issues, test assumptions and validate analytical results, ensuring accuracy and sensitivity of findings
• Use advanced analytical techniques such as modern data mining, pattern matching, data visualisation and predictive modelling tools to produce analyses and algorithms that assist with the business decisions
• Set up experimental designs to answer key business questions
• Forecast and monitor market trends using statistical techniques
• Assist in implementing strategy changes to live decision systems
• Assist with Application and Behavioural Scorecard development and testing
• Perform complex statistical analysis to support decision-making and mitigate credit risk

Key Competencies

• Strong analytical, problem solving and conceptual thinking skills
• Knowledge of statistical and mathematical models and methodologies
• Ability to explain complex statistical information
• Draw data from systems and do analysis on information retrieved
• Quality control of output data
• Compilation of reports based on information retrieved and analysed
• Planning and organisational skills
• Must be able to work to, and manage, deadlines
• Attention to detail and commitment to delivery is vital

Qualifications, Skills and Experience

Bachelor’s Degree or higher in an applicable field of study:For example: 

• Mathematics, Engineering, Statistics, Economics, Operational Research, Actuarial Science or Finance (CA (SA), CIMA, CFA etc.)

Minimum of 5 years’ relevant experience:

• In scoring techniques in consumer lending
• In credit risk analysis on unsecured lending products
• Preparing data-driven credit policy recommendations for Senior Management and delivering compelling presentations
• Experience/exposure to bureau data and developing customer insights from it
• Manipulating and analysing data using SAS, SQL, SAS Macros or other data analysis tools for complex modelling purposes or forecasting, i.e. ability to perform statistical analysis on large datasets
• Database architecture, i.e. understanding of database and data warehouse concepts and functions
• Exposure to Python - advantageous