Research Analyst - Criteria, Rating Model Development & Research

Role & responsibilities:

The research analyst will be responsible for developing and validating credit rating models and methodologies across asset classes, ensuring regulatory compliance with SEBI and RBI. They also produce high-quality research on macroeconomic trends, credit risks, and ESG factors, supporting the rating committee and management in maintaining accurate, robust, and compliant rating standards.

Criteria and Model Development-

• Contribute to the development and maintenance of criteria for rating various asset classes, including corporate bonds, structured finance, and sovereign debt.
• Contribute to the development and validation of credit rating models, including data analysis, model design, and testing.
• Ensure rating models are regularly reviewed and updated to reflect changes in market conditions and regulatory requirements.
• Work closely on projects involving analytical disclosures (CDR, Transition matrix, default statistics) to the regulators of the
  organization viz. SEBI & RBI.
• Work closely with rating committees, analysts, and other stakeholders to ensure rating models and criteria are applied consistently and accurately.
• Oversee thorough model validation activities including back-testing, stress testing, and performance monitoring, and lead remediation as required.
• Develop and maintain documentation for rating models and criteria, including methodology reports and user guides.
• Support rating analysts and other stakeholders on rating models and criteria.
• Apply statistical techniques to derive analysis and key findings (preferred)

Research-

• Conduct research and produce high-quality reports, presentations and short articles on a wide range of topics including but not limited to macroeconomic developments, credit trends, credit protection gaps, impact of regulatory developments on credit ratings, climate risk, ESG, and industry trends.
• Track and interpret ongoing risk, regulations/policies and all related regulatory expectations.
• Support management with research and regulatory understanding pertaining to day-to-day requirements of regulators.

Competencies:

• Strong communication and collaboration skills, with the ability to work effectively with stakeholders at all levels.
• Drive continuous improvement by researching advanced statistical and machine learning techniques to enhance model accuracy and efficiency.
• Knowledge of risk policy and regulatory reporting is preferred.
• Excellent analytical and quantitative skills with the ability to interpret large datasets.
• Good understanding of model risk management principles and governance requirements
• Proficiency in understanding of key financial ratios pertaining to credit risk would be an added advantage.
• Proficiency in R or Python for statistical modeling and data analysis is mandatory.
• Proficiency in MS Office suite (Word, advanced Excel and PowerPoint).
• Proficiency in statistical and quantitative techniques to solve various business problems