Senior Officer/ Officer, Credit Risk Modelling

Hong Kong, HK

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Job Purpose:

  • To participate in development, implementation, validation and enhancements of credit risk analytics tools to Corporate Banking, Retail Banking and Treasury. This would include IFRS 9 ECL models and internal credit scorecards for the purpose of risk quantification, internal risk management and regulatory compliance;
  • Design, formulate and maintain the validation and monitoring procedures in relation to credit risk analytics tools;
  • To automate, enhance and support the on-going reporting process of credit risk analytics tools;
  • To handle and mitigate audit issues in relation to credit risk analytics tools;
  • To conduct regular and ad hoc stress-testing exercises according to regulatory requirements and the Bank’s policies.

 

Main Responsibilities:

  • Responsible for impairment quantification for Corporate Banking, Retail Banking and Treasury credit portfolios and keep track of impairment charge against internal KPIs;
  • Prepare impairment and provision reporting on both regular and ad-hoc basis;
  • Perform enhancement, validation and monitoring of credit risk analytics tools;
  • To formulate and enhance credit risk stress test models and to prepare stress test results;
  • Partner with Group Risk, other divisions and outside vendors on ad-hoc projects for the purpose of risk quantification, internal risk management and regulatory compliance;
  • To support ad-hoc assignments as requested by supervisor.

 

Incumbent Requirements:

  • University graduate, preferably major in Finance, Mathematics, Statistics or Quantitative Analysis;
  • Solid experience in credit risk analysis, data mining and statistical modelling;
  • Proficient in MS office, Excel VBA, SAS programming and Python;
  • Familiar with credit related regulatory requirements, especially in Basel and IFRS 9;
  • Good communication, presentation, analytical and project management skills;
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Tags: Banking Credit risk Data Mining Excel Finance KPIs Mathematics Python SAS Statistics Testing

Region: Asia/Pacific
Country: Hong Kong

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