Job Summary :
We are seeking a skilled Credit Risk Strategy Analyst with strong expertise in SAS and SQL to join our risk management team. The successful candidate will play a key role in developing, implementing, and monitoring credit risk strategies by leveraging data analytics and predictive modeling techniques. This role requires a blend of analytical skills, risk knowledge, and technical proficiency to enhance the bank’s credit risk decision-making framework.
Key Responsibilities :
Develop and implement credit risk models and strategies to assess, monitor, and mitigate credit risk exposure.
Utilize SAS and SQL to extract, manipulate, and analyze large datasets for risk assessment and strategy development.
Perform credit portfolio analysis, segmentation, and risk scoring to identify trends, patterns, and emerging risks.
Collaborate with data scientists, credit risk officers, and business stakeholders to develop robust risk models.
Design and execute validation procedures for credit risk models and reporting.
Generate comprehensive reports and dashboards that communicate risk findings and strategy recommendations clearly to senior management.
Monitor performance of credit risk strategies and models, adjusting as needed based on data insights.
Ensure compliance with regulatory requirements and internal risk management policies.
Support credit policy formulation and updates by providing data-driven insights.
Stay updated on industry best practices and regulatory changes in credit risk management.
Required Qualifications :
Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field.
Proven experience in credit risk analysis, credit risk strategy, or related areas.
Strong proficiency in SAS for data analysis, statistical modeling, and reporting.
Advanced skills in SQL for data extraction, transformation, and database querying.
Experience with credit risk models such as PD, LGD, EAD, and scorecards is preferred.
Solid understanding of credit risk regulations (e.g., Basel III / IV, IFRS 9) and risk frameworks.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively across multiple teams and manage competing priorities.
Preferred Skills :
Experience with additional analytical tools (e.g., Python, R, Tableau) is a plus.
Knowledge of data warehousing and ETL processes.
Experience in banking, financial services, or credit risk consulting
Risk Credit Risk • Erode, Tamil Nadu, India