SouthState Bank is a financial institution committed to helping customers and supporting team member development. The Quantitative Intern will collaborate with Treasury Analytics teams on Asset Liability Management and Current Expected Credit Losses, supporting model development, governance, financial data analysis, and agentic AI integration.
Responsibilities
Develop a working knowledge of the Treasury Analytics model inventory and Model Risk Management Lifecycle
Develop a working knowledge of data preparation, model training, validation, testing, and monitoring
Gain exposure to large databases using tools such as Snowflake, PowerBI, and Git
Contribute to department projects using R and/or Python
Qualification
Required
Strong quantitative and analytical skills
Ability to interpret and transform data
Capability to work within a team to collaborate on ideas, problem solving, and solutions
Strong work ethic with desire to support the various Treasury Analytics modeling processes
Strong interpersonal skills, oral and written communication skills
Strong Computer skills including R or Python
Commitment to meeting deadlines and achieving assigned goals
Bachelor of Arts or Science in Applied Mathematics, Economics, Finance/Accounting, Statistics, Data Science, or related field
Preferred
Master's degree candidates preferred
Finance and statistical modeling knowledge preferred
Remote work environment for 5 days a week (Monday-Friday), except for federal bank holidays
The SouthState story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward.
