Senior Credit Modelling Analyst

Main Purpose

To contribute to the business by ensuring accurate prediction of credit results as evidenced in the impairment line, new business profitability and other credit metrics, through data and financial modelling. Key in providing insightful, high quality complex output, advice and guidance through the development of statistically accurate and credible credit risk models.

Duties

- Develop and build credit risk forecasting models, to quantify the risk of a portfolio
- Assessment of impairments and understanding the impacts on the business
- Develop accurate, statistically validated credit risk models while supporting all aspects of the agreed model build, validation and governance process
- Evaluate the quality of the data, and communicate any issues with interpretation of subsequent analyses
- Ensure variances to the expected profitability result are fully understood and used to enhance models and new business strategies
- Provide input into all budgeted and forecasted new business profitability numbers and other success measures based on independent analysis with business
- Reporting on variance between actual and expected new business profitability numbers-
- Ensure feedback into strategy development and communication process
- Analyse contemplated changes to credit models and review the actual performance vs expectation to inform business decisions
- Ensure variances to the expected model results are reported, reviewed, fully understood and used to enhance business performance
- Ensure changes to credit models are communicated, understood and implementable within the responsible business
- Continuous research into and the creation of opportunities to improve the credit result by enhancing model accuracy
- Test result and liaise with credit analysts to check
- Build additional models that can assist advance business and key situations that require models
- Identify additional lift to business in terms of impairment and/or profitability modelling- Demonstrate return on investment
- Maintain accurate and sustainable models and check parameters
- Support teams to make profitable decisions
- May be required to make presentations at Credit Committee meetings

Skills/Experience Required

- Relevant Degree (Statistical / Mathematical / Actuarial or Engineering background)Minimum 4 - 5 years' relevant experience in a financial / statistical modelling environment
- Relevant credit experience (advantageous)
- Proficient in SAS / R / SQL
- Python (advantageous)