Manager Quantitative Analysis-Credit Risk Modeling

This is a hybrid role located in Raleigh, NC with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in the office.

We are seeking a highly skilled and motivated candidate to join our Modelling and Analytics team.

This Manager Quantitative Analysis is responsible for developing, maintaining, and enhancing credit risk models (PD/LGD/EAD/ECL) across various asset classes within the bank's loan portfolio.

The candidate will apply these models for CECL reserve calculation and CCAR stress testing, ensuring regulatory compliance, accurate loan loss forecasting, and insightful analysis for senior leadership. This position requires close collaboration with risk, credit, and model governance teams to ensure effective model deployment and maintenance.

Key responsibilities include:

* Lead and mentor a team of quantitative developers focused on credit risk analytics for both commercial and consumer loan portfolios.
* Develop and maintain loan loss forecasting models that align with CCAR and CECL regulatory requirements and support internal business needs.
* Identify model limitations and design remediation strategies using advanced statistical techniques.
* Prepare detailed model documentation, including model development approach, conceptual soundness, and outcomes, and submit documentation for validation and audit purposes.
* Prepare reports for senior leadership by summarizing model performance, key findings, and actionable insights to support decision-making.

This position offers the opportunity to work with a team of modeling experts with graduate degrees in mathematics, finance, economics, and data science; and with experiences from top-tiers market research firms, academic institutions, and management consulting companies.

Bachelor's 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

Preferred Education: Advanced degree, Masters/PHD in quantitative field, i.e. mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Skills:

* Master's degree in Mathematics, Finance, Economics, Data Science or related quantitative field
* At least 7 years experience of experience in credit risk modeling, with 3 years in a leadership role
* Hands on experience using Python, R, SAS, SQL
* Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
* Hands on experience in model development and model development documentation
* Demonstrated experience in leading teams responsible for development, maintaining and enhancing credit risk models (PD/LGD/EAD/ECL)

#LI-Hybrid

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.