Lead Risk Modelling Specialist

2 days ago

Chennai, Tamil Nadu, India beBeeRiskAnalyst Full time ₹ 16,75,000 - ₹ 25,15,000
Job Description

As a Lead Risk Modelling Analyst, you will be responsible for building, validating, and enhancing quantitative models that support credit rating decisions, risk assessments, and financial forecasts.

This role involves collaborating with cross-functional teams to design and implement statistical and econometric models, as well as conducting performance testing, benchmarking, and sensitivity analysis of existing models.

Additionally, you will work with large, structured and unstructured datasets from multiple sources to support model calibration and back-testing, and communicate complex quantitative findings clearly to non-technical stakeholders.

  • Design and implement statistical and econometric models to support credit rating methodologies.
  • Build models for key risk parameters, including Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL).
  • Conduct performance testing, benchmarking, and sensitivity analysis of existing models.
Required Skills and Qualifications

To succeed in this role, you will need:

  • A Bachelor's Degree in Commerce / Finance / Statistics / Mathematics / Data Science / Computer Engg. / IT / Economics, Chartered Accountant or related field.
  • Strong command of programming tools such as Python, R, SAS, and SQL.
  • Practical understanding of credit risk models, financial instruments, and portfolio risk dynamics.
  • Familiarity with regulatory frameworks like Basel III/IV.
  • Excellent quantitative and analytical skills with strong attention to detail.
Benefits

We offer a competitive salary and performance-based bonus, as well as professional growth in a dynamic, intellectually rigorous environment.

Additionally, you will have the opportunity to collaborate with a diverse and supportive team culture, and be part of a founding team building a new-age credit rating agency.

Others

Exposure to cutting-edge credit risk modelling practices is also available.

Candidate should have 3–5 years of experience in credit risk modelling, model validation, or quantitative analysis within a credit rating agency, bank, or financial institution.

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