Quantitative Analyst II - Consumer Credit Model Development
About the position This is a hybrid role in Atlanta, GA with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in office. The Senior Model Development Analyst (Quantitative Analyst II) on our Consumer Model Development will focus on developing and implementing sophisticated credit risk models for consumer lending portfolios. This role will be working closely with senior leadership to shape the organization's risk strategy and ensure alignment with business objectives. Responsibilities • Lead the development, validation, and implementation of advanced credit risk models across all consumer lending products including, credit card, auto, mortgage, and HELOC • Partner with senior leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations • Mentor junior model development professionals, fostering a culture of innovation and continuous improvement in risk modeling approaches • Drive the enhancement of risk management frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance • Support the manager and director for response to model validation findings. • Lead and oversee the implementation of remediation plans across the modeling and analytics team • Maintain model documentation up to date • Establish and maintain relationships with internal auditors, Model Risk Management and key stakeholders • Guide the development and implementation of new risk assessment methodologies and tools to improve the organization's risk management capabilities • Drive strategic initiatives to modernize risk analytics infrastructure and capabilities through adoption of advanced technologies and methodologies Requirements • 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 Nice-to-haves • PhD degree in Statistics, Mathematics, Finance, or related quantitative field • 4 years of progressive experience in credit risk model development for U.S. banks. • Hands on experience using Python, SAS, and/or SQL for panel data processing. • Hands on experience in CECL and CCAR model development and model development documentation. • Credit card portfolio experience is preferred. • Experience with various types of PD model structure; deep understanding of the cons. and pros. for each structure. • Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies. • Strong understanding of regulatory requirements, including but not limit to, Dodd-Frank Act, CCAR, Basel, etc. • Deep understanding of bank's loan management process, from origination, to closing, to servicing. • Knowledge of bank's loan origination systems and loan servicing systems, including but not limited to, systems for credit card, mortgage, consumer products, and commercial (C&I, CRE, lease) products. • Understanding of GAAP practice for banks, including CECL, special assets management, etc. • Proven track record of translating complex analytical insights into business strategy. Benefits • 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 Apply tot his job