
Senior Quantitative Analyst
16 hours ago
Job Description:
">We are seeking an experienced and analytically driven professional to join our team as a Lead Risk Modelling Specialist. 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.">
Benefits:
">- 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 Team Culture:
">We offer a collaborative, diverse, and supportive team culture where you can grow professionally and personally.
"]},-
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