Senior Risk Model Developer

1 day ago

Kannur, Kerala, India beBeeRiskModeller Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Scientist – Quantitative Risk Modelling

Location: Mumbai, India

Department: Credit Ratings and Research

Reporting To: Chief Ratings Officer

Qualification: Bachelor's in Finance, Statistics, Mathematics, Data Science, Computer Engineering or related field.

Employment Type: Full-time

Key Responsibilities:

  • Model Development & Enhancement:
    • Design, implement and refine statistical 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 Finance, Statistics, Mathematics, Data Science, Computer Engineering or related field.
    • Master’s Degree in Finance, Statistics, Mathematics, Data Science 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 including Python, R, SAS and SQL.
    • Practical understanding of credit risk models, financial instruments and portfolio risk dynamics.
    • Familiarity with regulatory frameworks including Basel III/IV.
    • Excellent 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 including Power BI and 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.

Collaborative diverse and supportive team culture.

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