Strategic Risk Assessment Professional

4 days ago

Nellore, Andhra Pradesh, India beBeeRisk Full time ₹ 15,72,864 - ₹ 20,97,152
Job Title: Lead Risk Modelling Analyst

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).
      • 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.
    • Collaboration & Support:
      • Liaise with cross-functional teams including Ratings, IT, Compliance, and Data Engineering.
      • Provide analytical support during credit rating committee discussions and reviews.
    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.

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