Quantitative Analyst (Remote Capability)

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 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 various data-heavy initiatives across the Bank.

Qualified candidates should have a proven 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 financial and non-financial models using common statistical techniques, predictive analytics, and methodologies to quantify existing and potential risks across the bank in compliance with 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

• Proficiency writing SQL (i.e. Snowflake, MS-SQL Server) and working with large data sets
• Experience using Python (required), other statistical tools (such as R)
• Experience developing dashboards using business intelligence or reporting tools such as Tableau, ThoughtSpot, or PowerBI
• Demonstrates high level of technical knowledge and proficiency in probability, statistics, coding, and finance.
• 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 in financial and business analysis required with a minimum of three years of experience directly related to financial services modeling or model validation
• Knowledge: Prior experience planning and leading complex quantitative projects required and prior experience with standard modeling and data manipulation using Python and SQL required
• Excellent verbal and written communication skills.

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.