Risk Analyst: Modelling And Analytics

Key Responsibilities:
- Work within a team of Risk Analysts on best practice credit risk management principles and statistical analysis
- Development and monitoring 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
- Coach and mentor junior analysts (if applicable)
Key Competencies
- Strong analytical, problem solving and conceptual thinking skills
- Knowledge of statistical and mathematical models and methodologies
- Interpretation of analysis and ability to communicate insights with senior stakeholders
- 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
- Bachelors 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 and bad debt provision 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
**Job Types**:
Full-time, Permanent
**Salary**:
R50,000.00 - R70,000.00 per month
Ability to commute/relocate:
- Cape Town, Western Cape:
Reliably commute or planning to relocate before starting work (required)