Data Driven Risk Analyst

1 day ago

Allahabad, Uttar Pradesh, India beBeeRiskManagement Full time ₹ 15,00,000 - ₹ 25,00,000

Job Opportunity: Advanced Risk Modelling Specialist

Mission Statement:

As a seasoned quantitative analyst, you will play a pivotal role in enhancing our risk management capabilities by developing and refining statistical models that drive informed decision-making.

Key Responsibilities:

  • Model Development & Enhancement:
  • Design, implement, and refine econometric and machine learning models to support credit rating methodologies.
  • Build 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:

  • Conduct rigorous performance testing, benchmarking, and sensitivity analysis of existing models.
  • Implement validation protocols to ensure models meet internal standards and regulatory requirements.
  • Recommend enhancements based on validation outcomes and business feedback.

Data Analysis & Management:

  • Work with large, complex 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 stakeholders and regulators.
  • Communicate complex quantitative findings clearly to non-technical audiences.

Requirements:

  • Bachelor's Degree in Finance / Statistics / Mathematics / Data Science or related field.
  • Master's Degree in Finance / Statistics / Mathematics / Data Science or related field (Preferred)
  • 4-6 years of experience in advanced 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 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., Tableau).

Why Choose Us?

  • Competitive compensation package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Exposure to cutting-edge risk management practices.

Join us in shaping the future of risk management.

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