Lead Risk Analyst Position

5 days ago

Hubli, Karnataka, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Lead Risk Modeller

 

Job Description:

We are seeking a highly skilled and analytical risk modeller to join our team. The successful candidate will be responsible for building, validating, and enhancing quantitative models that support credit rating decisions, risk assessments, and financial forecasts.

This role involves working with large datasets to inform model assumptions and contribute to the development of macroeconomic scenario analysis and stress testing frameworks.

The ideal candidate will have a solid foundation in credit risk modelling along with hands-on experience in model development and data analysis within a financial or ratings environment.

 

Key Responsibilities:
  • Model Development & Enhancement:
    • Design, implement, and refine 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).
  • Model Validation & Monitoring:
    • Conduct performance testing, benchmarking, and sensitivity analysis of existing models.
    • Implement validation protocols to ensure models meet internal standards and regulatory expectations.
  • Data Analysis & Management:
    • Work with large, structured and unstructured datasets from multiple sources to support model calibration and back-testing.
    • Perform exploratory data analysis and statistical testing to inform model assumptions.
Qualifications & Skills:
  • Bachelor's Degree in Commerce / Finance / Statistics / Mathematics / Data Science / Computer Engg. / IT / Economics, Chartered Accountant or related field.
  • Master's Degree in Finance / Statistics / Mathematics / Data Science / Economics, or related field (Preferred)
  • 3–5 years of experience in credit risk modelling, model validation, or quantitative analysis within a credit rating agency, bank, or financial institution.
  • 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:
  • Competitive salary and performance-based bonus.
  • Professional growth in a dynamic, intellectually rigorous environment.
  • Exposure to cutting-edge credit risk modelling practices.
Collaborative Team Culture:

Our team is collaborative, diverse, and supportive. We welcome candidates who share our passion for innovation and excellence in risk modelling.

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