Summer 2027 Quantitative Intern

SouthState Bank; United States; On-site; USD 25,000 - 36,000; Full time

Job summary

SouthState is seeking a Quantitative Intern to support Treasury Analytics in ALM and CECL initiatives. You will help with model development, governance, and data analysis while gaining hands-on exposure to large data systems and analytics tools.

The role emphasizes collaboration, strong quantitative skills, and the ability to interpret and transform data. It is a remote, full-time internship with a 40-hour work week and pay at $22/hour.

Qualifications

• Bachelor's degree in a quantitative field; master’s preferred.
• Finance or statistical modeling knowledge is preferred.
• Strong writing and communication skills required.
• Experience with data analysis, model development and governance is a plus.

Responsibilities

• Support ALM and CECL initiatives through data analysis and modeling.
• Assist in data preparation, model training, validation and monitoring.
• Collaborate with Treasury Analytics on projects using R/Python.
• Work with Snowflake, PowerBI, and Git to manage data and results.

Skills

Quantitative skills

Data interpretation

Python/R

Communication skills

Team collaboration

Education

B.S./B.A. in math/economics/finance/statistics/data science

Master's degree preferred

Tools

Snowflake

PowerBI

Git

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 TrainingNew Employee OrientationWork EnvironmentThis 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.