Research Analyst - (Freshers with relevant skills Can apply)

Brickwork Ratings (BWR); Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Brickwork Ratings (BWR) is seeking a research analyst to develop and validate credit rating models across asset classes, ensuring SEBI and RBI compliance. You will produce high-quality research on macro trends, credit risks, and ESG factors to support rating committees and management.

You will contribute to criteria development, model validation, and regulatory disclosures, while maintaining rigorous documentation and applying advanced statistical techniques to derive key insights for

Qualifications

• Experience in developing and validating credit rating models.
• Knowledge of macroeconomics, credit trends, ESG factors.
• Ability to work with regulatory bodies and governance.
• Proficient in statistical methods and machine learning.

Responsibilities

• Develop and validate rating criteria across asset classes.
• Perform model validation including back-testing and stress testing.
• Prepare research reports, presentations and summaries for management.
• Collaborate with rating committees and analysts to ensure consistency and accuracy.
• Ensure compliance with SEBI and RBI regulations in rating processes.

Skills

R/Python for stats

Statistical analysis

Communication skills

Collaboration

MS Office suite

Quantitative reasoning

Tools

R

Python

Job description

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