Chief Quantitative Modeler

1 day ago

Thrissur, Kerala, India beBeeCreditRiskAnalyst Full time ₹ 12,00,000 - ₹ 16,00,000
About the Role:
We are seeking an experienced and analytically driven professional to join our team as a Lead Risk Modelling Analyst. This role involves building, validating, and enhancing quantitative models that support credit rating decisions, risk assessments, and financial forecasts. The ideal candidate will bring 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).
    • Contribute to the development of macroeconomic scenario analysis and stress testing frameworks.
  • 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.
    • Recommend enhancements based on validation outcomes and business feedback.
  • 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.
  • Documentation & Communication:
    • Prepare comprehensive model documentation for internal committees, model governance teams, and regulators.
    • Communicate complex quantitative findings clearly to non-technical stakeholders, including rating analysts and senior management.
  • Candidate Profile:
    • 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.
    • Candidates having prior experience of working in a Credit Rating Agency preferred.
    • 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.
    • Ability to manage multiple projects with minimal supervision.
    • Exposure to machine learning techniques applied to credit risk or financial modelling.
    • Experience with data visualization tools (e.g., Power BI, Tableau).
    • Working knowledge of rating agency methodologies and capital markets.

Why Join Us?
  • Be part of a founding team building a new-age credit rating agency.
  • Competitive salary and performance-based bonus.
  • Professional growth in a dynamic, intellectually rigorous environment.
  • Exposure to cutting-edge credit risk modelling practices.

A collaborative, diverse, and supportive team culture.

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