Quantitative Analyst - Remote

As a leading regional bank, SouthState has been providing financial solutions to individuals, families, and businesses in the Southeast for more than 100 years. SouthState team members strive to create remarkable experiences while building meaningful and lasting relationships. We are proud to be a reflection of the communities we serve, and our team members share core values that make SouthState a great place to bank, and a great place to work.
SUMMARY/OBJECTIVES
SouthState Bank’s Treasury Analytics Department supports balance sheet decisions by providing sound recommendations rooted in data and uses its unique technical acumen to provide solutions across the broader organization.
This position is responsible for the end-to-end model development process and model risk management lifecycle for credit risk models. Furthermore, this position provides quantitative support across the Treasury Analytics department by developing technical solutions for business problems, deploying technology to scale operations, aggregating and analyzing diverse data, and developing financial and non-financial models to support capital stress testing, asset liability management, liquidity risk management, credit loss forecasting, and other various data-heavy initiatives across the Bank.
Qualified candidates should have a proven credit risk modeling and quantitative background, comfort managing the full model lifecycle, and an understanding of related regulatory requirements for financial institutions.
ESSENTIAL FUNCTIONS
This position is expected to perform the specific duties, tasks, and responsibilities as outlined below:
Leverages Python/SQL/R and data visualization software to extract, transform, organize, and analyze financial and non-financial data including time series data, loan and deposit data, credit loss histories, and macroeconomic data.
Leads the design, development, implementation, and management of holistic strategies for Current Expected Credit Loss (CECL) modeling using common statistical techniques, predictive analytics, and methodologies to estimate credit losses in compliance with ACS 326-20 / SR 12-7 / OCC 2012-11.
Generates comprehensive technical studies of the Bank’s loan and deposit behavior, pricing mechanisms, loss modeling, portfolio segmentation, and other ad hoc projects by applying modern statistical techniques and sound business judgment.
Deploys business solutions using Python scripts, SnowPark, and Streamlit.
Maintains and improves models related to the Treasury Analytics functions, including, but not limited to, loan prepayment models, deposit decay models, pricing models, production models, scoring models, PD/LGD/EAD models, and various feeder models for capital stress testing.
Collaborates across the bank to identify opportunities to apply predictive analytics and process automation.
Owns recurring reporting streams that require ongoing analysis of results.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
COMPETENCIES
Deep subject matter expertise in credit risk model development and times series regression analysis
Proficient using R/Python/SQL and data visualization software to extract, transform, organize, and analyze financial data and macroeconomic data
Working knowledge of bank accounting, financial analysis, and financial markets.
Requires critical thinking skills (frame problem, test hypothesis, and implement solutions).
Possess the ability to analyze, interpret, and synthesize financial and non-financial data into coherent reports and narratives.
Understanding of industry best practices for data management in financial institutions and ability to apply modern data analytics to solve business problems.
Excellent problem-solving skills and meticulous attention to detail.
Must be willing to demonstrate commitment to SouthState Bank’s mission and goals.
Qualifications and Education Requirements
Education: Master’s degree in mathematics, finance, economics, or related field, or commensurate work experience required; PhD preferred. CFA, FRM, and/or PRM preferred, but not required
Experience: Minimum of five years of increasing responsibilities developing statistical models in a financial institution required with a minimum of three years of experience directly related to credit risk modeling
Knowledge: Subject matter expertise in time series regression, classification algorithms, and data manipulations using SQL/Python/R
TRAINING REQUIREMENTS/CLASSES
Required annual compliance training.
Additional training may be required, as needed
RECOMMENDED ADDITIONAL TRAINING
New Employee Orientation, Empyrean-Solutions, Microsoft Power BI, and other data analytics tools
Supervisory Responsibility
This position does not have supervisory responsibilities.
PHYSICAL DEMANDS/WORK ENVIRONMENT
No unusual physical demands required for this job. Must be able to do sedentary work. May occasionally lift to 25 pounds to perform job. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Position may require the ability to work before or after normal business hours to attend various employee meetings, training sessions, and community events supported by the Bank, to include evenings and weekends.
Must be accustomed to professional, business office environment in manner and dress. Must demonstrate excellent human relation skills with customers and bank associates. Must be willing to participate as a team member.
Must be able to stand and/or sit for long periods of time. Must be able to effectively access and interpret information on computer screens, documents, and reports.
Must be willing to demonstrate commitment to South State Bank’s mission and goals
TRAVEL
This position requires minimal travel. Some travel may be required to support a geographically dispersed team.