- Gain hands-on experience in shaping the reliability of key credit risk models by supporting performance monitoring activities and helping ensure alignment with strong risk governance standards placing you at the heart of data-driven decision making.
- Identify performance issues, and contribute meaningful insights and recommendations while growing in a culture that encourages curiosity, innovation, and continuous improvement
Job Details
Position Title: Sr Analyst, Credit Risk Modeling
Career Level: P2
Job Category: Senior Associate
Role Type: Hybrid
Job Location: Bangalore
About the Team:
At First Citizens, we are dedicated to maintaining the financial stability of our institution while managing risk across a broad range of commercial and consumer loan portfolios. The Modeling and Analytics plays an integral role in developing, maintaining, and monitoring credit risk models that maintains the strength of our loan portfolios, which include sectors such as Commercial & Industry (C&I), Commercial Real Estate (CRE), Equipment Finance (EF), Mortgages, Home Equity Lines of Credit (HELOC), Credit Cards, and Auto loans. The Modeling and Analytics team operates within the first line of defense, serving as a critical bridge between risk management and the business.
Impact
This role enhances the reliability of credit risk models by supporting automated monitoring, analyzing performance issues, and delivering clear insights to stakeholders strengthening model governance and enabling informed decision-making.
Key Deliverables (Duties and Responsibilities)
- Support task automation and execution of ongoing model monitoring utilizing tableau for credit risk models across various commercial and consumer loan portfolios
- Assist with deep dive and root cause analysis using in-depth statistical analysis to assess model risk and performance.
- Prepare and maintain detailed monitoring reports and power point presentations to align with the ongoing monitoring plans adhering to risk management guidelines.
- Communicate performance results, model breaches, and other concerns to senior management and model users in a clear and actionable manner, supporting informed decision-making
- Identify potential improvements to current procedures, plans, and controls to achieve business objectives.
- Work closely with the modeling team to identify and address model performance issues.
- Support and remediate identified model findings as it pertains to ongoing model monitoring related observations.
Skills and Qualification (Functional and Technical Skills)
Functional Skills:
- 3+ years of experience in credit risk model development or monitoring
- Experience with Commercial and Consumer Loan Portfolios
- Familiarity with US banking regulations and risk analytics/governance standards
- Attention to detail, strong organizational skills, and ability to work independently
- Excellent oral and written communication skills
- Ability to manage multiple projects and meet deadlines efficiently
Technical/Business Skills:
- Proficiency in quantitative techniques and statistical modeling tools (e.g., SAS, SQL)
- Experience generating automated reports and dashboards using Tableau or Power BI
- Experience with Cloud Engineering tools (e.g., Azure)
- Experience working with APIs to extract and ingest data from external sources
- Strong data interpretation, analytical, and code debugging skills
- Understanding of statistical concepts and modeling, including regression analysis, time series, and risk metrics
- Proficiency in Microsoft Office, especially Excel and PowerPoint
Qualification / Experience
- Bachelors Degree and 4 years of experience in Financial, Statistical or Quantitative Analysis Experience OR High School Diploma or GED and 8 years of experience in Financial, Statistical or Quantitative Analysis Experience
- Strong experience in generating automated reports in a dashboarding tool like Tableau or Power BI to generate actionable insights
- Advanced proficiency in Python
- Hands on experience in CECL and CCAR model development with strong understanding of statistical concepts
