Job description
The SouthState story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward. Since our beginnings in the 1930s to becoming a trusted financial partner across the South and beyond - we are known for combining personal relationships with forward-thinking solutions.
We are committed to helping our team members find their success while maintaining the integrity of our values: building trust, fostering lasting relationships and pursuing excellence. At SouthState, individual contributions are recognized, potential is cultivated and team members are inspired to achieve their greater purpose. Your future begins here!
The Quantitative Intern will work in collaboration with the Treasury Analytics Department, gaining exposure to Asset Liability Management (ALM) and Current Expected Credit Losses (CECL) teams. The Quantitative Intern will provide support in various areas, such as model development, model governance, financial data analysis, and agentic AI integration.
Essential Functions
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
Competencies
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
Qualifications and Education Requirements
Education: Bachelor of Arts or Science in Applied Mathematics, Economics, Finance/Accounting, Statistics, Data Science, or related field. Master’s degree candidates preferred.
Experience: Finance and statistical modeling knowledge preferred.
Recommended Additional Training
New Employee Orientation
Work Environment
This position is a remote work environment for 5 days a week (Monday-Friday), except for federal bank holidays: 40 hours a week.
In accordance with Colorado and Virginia law: Pay for this position is anticipated to be $22 per hour.
Equal Opportunity Employer, including disabled/veterans.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.