
Advanced Quantitative Analyst
4 days ago
Job Overview:
We are seeking a seasoned Risk Modelling Analyst to join our team in building, validating and enhancing quantitative models that support credit rating decisions, risk assessments, and financial forecasts.
- 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 Finance / Statistics / Mathematics / Data Science / Computer Engg. / IT / Economics 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.
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