Knowledge and application of credit scoring and risk management techniques across the entire credit life cycle on consumer portfolios
Proven ability in analytics, business acumen and presenting/communicating recommendations across all organization levels
Understanding of financial metrics in relation to portfolio management and the associated forecasting thereof
High level of PC Literacy ideally with the experience using SQL and SAS
Knowledge of Python and Modelling Techniques highly advantageous
Proficient Excel skills ideally using Macros
Ability to cross check data integrity after an initial validation exercise
Ability to work with diverse teams to ensure effective implementations of projects
University Degree in Business, Mathematics, Statistics, Risk Management or equivalent
Contact LEE-ANN SASMAN on 021 -----, quoting the Ref: CTF013187.
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