Credit Model Validation Specialist, Digital Banking - Singapore - Morgan McKinley
Description
Role and responsibilities- Perform pre and postimplementation validations on credit risk models and FRS 9 models in line with bestpractice standards
- Employ statistical modelling methodology in performing validations and produce outcomes to be analysed from statistical as well as business perspective
- Work closely with model developers and provide feedback and valueadded advice on the models prior to presentation for approval to Management
- Provide and engage in challenging and valueadding discussions to model developers in order to ensure models approved are of the highest standard
- Manage electronic data, perform data extraction from databases or write specifications for data to be extracted by the IT team
- Aware of Regulators' (MAS) requirements for IRB models and ensure adherence
- Present and explain validation results to the respective management committee/s for endorsement and approval
- Conduct occasional briefing sessions to external parties on validation related matters
- Possesses a quantitative qualification with at least a Degree (or its equivalent) preferably in Statistics, Mathematics, Accounting, Finance, Banking, Economics, or other related/suitable quantitative discipline from a recognized University
- At least 5 years working experience in similar / related functions or statistical modelling related functions
- Familiar with credit risk models used by the banks, such as Application and Behaviour scorecards for business use as well as capital models; namely Probability of Default (PD), Exposure at Default (EAD) and Loss Given Default (LGD)
- Familiar with FRS 9 models
- Experience in other model types such as Credit Concentration Risk and Pricing models is of added advantage
- Highlyskilled in various Excel mathematical and data manipulation functions
- Experience in data analysis and data manipulations using SAS software. Familiar with various database structures and proven ability to work with IT on data extraction
- Exposure to the various types of portfolios managed by the banking group and experience in business/corporate loan origination and credit processing is an added advantage
- Meticulous, organised and able to produce documentation of high quality, with clear and concise messaging
- Selfassured and able to interact well with various working levels
License No: 11C5502
Lee Boon Hou (Hagen),
Registration No:
R1870932
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