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Senior Credit Risk Specialist
4 months ago
Full timeNumber of years of experience expected:
- 5 – 8 yearsAreas of past experience preferred:
Credit risk modelling, Credit risk stress testing, Probability of Default (“PD”) and Loss Given Default (“LGD”) model development and validation.Educational qualification expected:
Graduate/ PostgraduateAdditional qualifications/ certifications required:
NonePreferable additional certifications:
CA / FRM / ActuarialPreferred geography of previous work experience:
India / Europe / APAC / USLanguage requirements:
Ability to write and speak fluently in EnglishApplication experience preferable:
§ MS Excel, VBA, Python, R, SAS
Key responsibility areas:Opportunity to work on credit risk and IFRS 9 modelling engagements with leading banks, financial institutions, NBFCs, insurance companies and corporatesKnowledge 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 testingDemonstrate functional understanding and interface with clientele during implementation engagements.Lead and responsible for team mentoring, project management and client deliveryDrive the day-to-day execution of assigned client projects.Understand the client’s business, key strategic essentials of the client, industry and market dynamics, and make/ implement recommendations appropriate for the client’s business needs to drive continuous improvement and generate value.Stakeholder management in a project along with project management
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:
Understanding of products / exposures in the financial services industry (Banks / NBFC / Insurance)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
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 -