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Senior Credit Risk Specialist

3 months ago

mumbai, India Acies Full time

Highlight of the engagement opportunity

  • Nature of role: Full time
  • Number of years of experience expected: - 5 – 8 years
  • Areas 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/ Postgraduate
  • Additional qualifications/ certifications required: None
  • Preferable additional certifications: CA / FRM / Actuarial
  • Preferred geography of previous work experience: India / Europe / APAC / US
  • Language requirements: Ability to write and speak fluently in English
  • Application 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 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.
  • Lead and responsible for team mentoring, project management and client delivery
  • Drive 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


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