Lead Quantitative Analyst

2 days ago

Ghaziabad, Uttar Pradesh, India beBeeRisk Full time ₹ 17,50,000 - ₹ 2,02,00,000
Job Title

A Risk Modelling Analyst will play a pivotal role in building and validating quantitative models that support credit rating decisions and financial forecasts.

This role involves working closely with our Credit Ratings team to design and implement statistical and econometric models, ensuring their accuracy and reliability.

  • Design complex statistical and econometric models for credit risk assessment, focusing on Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL).

  • Develop large datasets using advanced data analysis techniques to inform model assumptions and calibration.

  • Conduct thorough performance testing, benchmarking, and sensitivity analysis of existing models to ensure they meet internal standards and regulatory requirements.

  • Communicate complex quantitative findings clearly to non-technical stakeholders, including rating analysts and senior management.

  • Collaborate with cross-functional teams to provide analytical support during credit rating committee discussions and reviews.

Required Skills and Qualifications

  • Bachelor's Degree in Commerce / 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 is 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.

Benefits

  • Be part of a dynamic, intellectually rigorous environment where you can grow professionally.

  • Work with a collaborative, diverse, and supportive team culture.

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