Senior Quantitative Model Developer - Loss Forecasting 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 Quantitative Model Developer for Commercial Model Development will focus on developing and implementing sophisticated credit risk models for commercial lending portfolios. This role will be working closely with senior leadership to shape the organization's risk strategy and ensure alignment with business objectives. This position provides valuable learning, working, and career development opportunities in a highly professional environment. This position also provides exposure to impactful modeling projects and to a wide variety of internal and external stakeholders. Responsibilities • Lead the development, evaluation, and implementation of advanced credit risk models across all commercial lending products, including CRE loan portfolios, for stress-testing and CECL reporting purposes. • Partner with senior leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations. • Mentor junior model development professionals by fostering a culture of innovation and continuous improvement in risk modeling approaches and methodologies. • Drive the enhancement of model development frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance. • Lead the response to model validation findings and oversee the implementation of remediation plans across the modeling and analytics team. • Establish and maintain relationships with regulatory bodies, external/internal auditors, Model Risk Management (MRM) and other 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 • Ph.D. or Master's degree in Statistics, Mathematics, Finance, Operation Research, Industrial Engineering, or other related quantitative field. • At least 4 years of progressive experience in credit risk model development for US Banks. • Hands on experience using Python, SAS, and SQL. • Hands on experience in developing statistical models using panel, cross-sectional, and time-series datasets. • Strong understanding of regulatory requirements and experience in interactions with regulatory bodies. • Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies. • Proven track record of translating complex analytical insights into business strategy. • Professional certifications (e.g. CFA or FRM) are a plus. Apply tot his job