Risk Modeling Officer at Credit Agricole

Credit Agricole Career
Credit Agricole Career

Job Description

  • IFRS9 Expected Loss methodologies,This includes all inputs of Probability of Default, Loss Given Default and Exposure at Default (methodology).
  • Credit scoring models (Retail loan origination models, behavioral scorecards).

Job Requirements

  • Strong quantitative education in area such as computer engineering, computer science, actuarial studies, statistics and economics.
  • Experienced in programing languages suited for doing statistical and data analysis such as python, R or SAS.
  • Strong knowledge of SQL.
  • Strong knowledge of statistics and traditional machine learning.
  • 2 years of experience at least in quantitative analysis, preferably within risk modeling in financial institution.

Apply Via The Following Link

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