Credit Risk Strategy Analyst

About the job

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.

Requirements

• SAS
• SQL
• Credit risk analysis
• Statistical modeling
• Predictive modeling

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field

Preferred Technologies

• SAS
• SQL
• Credit risk analysis
• Statistical modeling
• Predictive modeling