
Senior Quantitative Analyst
1 week ago
We're seeking a seasoned Quantitative Model Development Specialist to join our Credit Ratings 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 or ratings environment.
Main Responsibilities:
- 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.
Key Skills & Qualifications:
- 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.
- 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.
What We Offer:
- Competitive salary and performance-based bonus.
- Professional growth in a dynamic, intellectually rigorous environment.
- Exposure to cutting-edge credit risk modelling practices.
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