Credit Risk Modeler

4 days ago


Mumbai, Maharashtra, India Acies Full time

Job Overview:

We are seeking a skilled Credit Risk Modeler to join our team at Acies. This is a full-time opportunity that requires 1-10 years of experience in credit risk modelling, credit scoring models, and credit rating models.

Key Responsibilities:

  • Work on credit risk and IFRS 9 modelling engagements with leading banks, financial institutions, NBFCs, insurance companies, and corporates.
  • Knowledge of banking setup and various loan products, including wholesale loans, auto loans, personal loans, mortgage finance, education loans, etc.
  • Extensive knowledge of concepts related to default and recovery rate modelling, including roll rate analysis, periodic default rates, statistical methods, regression models, Markov chains, etc.
  • Demonstrate functional understanding and interface with clients during implementation engagements.

Requirements:

  • Graduate/Postgraduate degree in a relevant field.
  • Experience with credit risk modelling, PD, LGD, ECL, etc.
  • Familiarity with various methodologies used for modelling default rates, credit scores, recovery rates, etc.

Compensation and Benefits:

The estimated salary for this role is $80,000 - $120,000 per annum, depending on location and experience. We offer a range of benefits, including health insurance, retirement plans, and opportunities for career growth.

Selection Process:

We seek to be transparent during the selection process. The key steps involved are:

  • Personal interviews: At least 2 rounds of online interviews.
  • Final discussion on career and compensation: Post-final selection, a separate discussion will be set up to discuss compensation and career growth.

Preparation Required:

It is recommended that you prepare on some of the following aspects before the selection process:

  • Demonstrate knowledge about different types of loans and banking products.
  • Demonstrate knowledge about credit risk modelling, PD, LGD, ECL, etc.
  • Demonstrate experience of various methodologies used for modelling default rates, credit scores, recovery rates, etc.

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