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
