FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company's over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients greatest ambitions.
Job Description
Value Preposition
- A role that accelerates career growth through hands-on exposure to high-impact monitoring and governance initiatives, encouraging innovation and continuous improvement
- An opportunity to shape model performance insights by turning complex analytics into clear, actionable recommendations that directly influence senior-level decisions
Job Details
Position Title: Manager Credit Risk Modeling
Career Level: L1
Job Category: Manager
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 stakeholdersstrengthening model governance and enabling informed decision-making.
Key Deliverables (Duties and Responsibilities)
- Lead task automation and execution of ongoing model monitoring utilizing Tableau for credit risk models across various commercial and consumer loan portfolios
- Manage a team of quantitative analysts, providing technical guidance, career development, and performance management
- Conduct deep dive and root cause analysis using in-depth statistical analysis to assess model risk and performance.
- Prepare and maintain detailed monitoring reports 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 model development 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
- 8+ years of experience in credit risk model development or monitoring or a similar quantitative role with at least 4 years of Management/Lead Experience
- Experience with Commercial and Consumer Loan Portfolios
- Familiarity with US banking regulations and risk analytics/governance standards
- Attention to detail, 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
- Advanced proficiency in other quantitative techniques and statistical modeling tools (e.g. SAS and SQL)
- Experience with Cloud Engineering Tools (e.g. Azure/Snowflake)
- Experience generating automated reports and dashboards using Tableau or Power BI
- Experience working with APIs to extract and ingest data from external sources
- Strong Analytical, interpretive, and code debugging skills with ability to interpret large data sets
- Understanding of statistical concepts and modeling, including regression analysis, time series, and risk metrics
- Experience with Consumer and Commercial loan portfolios
Qualification / Experience
- Phd or Master's degree in Statistics, Mathematics, Finance, Economics, Information Sciences or any quantitative field from an accredited college/university required
- Certifications like CFA or FRM will be desirable
- Advanced proficiency in Python
- Hands on experience in CECL and CCAR model development with strong understanding of statistical concepts
Relationships & Collaboration
To build strong onshore and offshore relationships and foster effective collaboration, prioritize transparent communication, cultural sensitivity, and clear goal alignment, while making sincere efforts to bridge geographical gaps and manage time zone differences. Foster trust and creating a unified one team culture to drive mutual success and growth.
Accessibility Needs
We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.
Equal Employment Opportunity
FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle. 
