Credit Model Validation Specialist, Digital Banking - Singapore - Morgan McKinley

Morgan McKinley
Morgan McKinley
Verified Company
Singapore

6 days ago

Wei Jie

Posted by:

Wei Jie

beBee Recruiter


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
Key requirements

  • 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
Morgan McKinley Pte Ltd, EA
License No: 11C5502

Lee Boon Hou (Hagen),

Registration No:
R1870932

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