Credit Risk Specialist
2 days ago
Full timeNumber of years of experience expected:
- (1 – 10) yearsAreas of past experience preferred:
Credit risk modelling, Credit scoring models, Credit rating models, Credit risk stress testing, Probability of Default (“PD”) and Loss Given Default (“LGD”) models validationEducational qualification expected:
Graduate/ PostgraduateAdditional qualifications/ certifications required:
NonePreferable additional certifications:
CA / FRM / CFA / MBA / CQF / ActuarialPreferred geography of previous work experience:
India / Europe / APAC / USLanguage requirements:
Ability to write and speak fluently in English
Key responsibility areas:Opportunity to work on credit risk and IFRS 9 modelling engagements with leading banks, financial institutions, NBFCs, insurance companies and corporates.Knowledge of banking set-up and various loan product and their characteristics 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 including regression models, Markov chains, etc.Knowledge and understanding of credit concentration, credit risk mitigants, counterparty credit risk management and credit risk stress testing.Demonstrate functional understanding and interface with clientele during implementation engagements.
Selection process:We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows:
Personal interviews:
There are expected to be at least 2 rounds of online interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved.Final discussion on career and compensation:
Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion.
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 productsDemonstrate knowledge about credit risk modelling, PD, LGD, ECL, etc.Demonstrate experience of various methodologies used for modelling default rates, credit scores, recovery rates, etc.
For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at or e-mail us at
How to reach us:Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page -
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