Lead Quantitative Analyst

2 weeks ago

Ajmer, Rajasthan, India beBeeRisk Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Quantitative Risk Modeller

Our organization seeks an experienced risk modelling professional to join our team. This role involves designing, implementing, and refining statistical models that support credit rating decisions, risk assessments, and financial forecasts.

Key Responsibilities:
  • Model Development & Enhancement:
    • Design advanced statistical models to inform credit rating methodologies.
    • Develop predictive 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:
    • Test model performance, benchmark against industry standards, and conduct sensitivity analysis.
    • Implement validation protocols to ensure models meet regulatory expectations.
    • Recommend enhancements based on validation outcomes and business feedback.
  • Data Analysis & Management:
    • Work with large 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 and regulators.
    • Communicate complex quantitative findings clearly to non-technical stakeholders.
  • Collaboration & Support:
    • Collaborate with cross-functional teams to drive business outcomes.
    • Provide analytical support during risk management discussions.
Candidate Profile:
  • Bachelor's Degree in Commerce / Finance / Statistics / Mathematics / Data Science / Computer Engg. / IT / Economics.
  • Master's Degree in Finance / Statistics / Mathematics / Data Science / Economics (Preferred)
  • 3–5 years of experience in risk modelling, model validation, or quantitative analysis within a 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.

Why Join Us?

  • Be part of a dynamic team driving business growth.
  • Competitive salary and performance-based bonus.
  • Professional growth in a fast-paced environment.
  • Exposure to cutting-edge risk modelling practices.

A diverse and supportive team culture.

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