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Senior Quantitative Credit Risk Analyst

2 weeks ago

Bhavnagar, Gujarat, India beBeeCreditRiskAnalyst Full time ₹ 18,00,000 - ₹ 24,00,000

Job Title: Senior Quantitative Analyst – Risk Modelling

Location: Global Opportunities

Department: Financial Services

Reporting To: Chief Analytics Officer

Qualification: Bachelor’s in Finance, Statistics, Mathematics or related field. A Master’s Degree is preferred.

Employment Type: Full-time

Preferred Availability: Immediate Start

About the Role

We are seeking an experienced and analytically driven Senior Quantitative Analyst to join our Risk Modelling team. 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 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 analysts and senior management.

Candidate Profile

  • 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.

Why Join Us?

  • Be part of a dynamic and intellectually rigorous team
  • Competitive salary and performance-based bonus
  • Professional growth in a global organisation
  • Exposure to cutting-edge credit risk modelling practices