Summer 2027 Quantitative Intern (Remote)

SouthState Bank, N.A.; Winter Haven (FL); Remote; USD 29,000 - 32,000; Full time

Benefits offered by this job

Remote work environment

New Employee Orientation

Job summary

SouthState Bank, N.A. is seeking a Quantitative Intern to join the Treasury Analytics team and gain exposure to ALM and CECL. You will support model development, governance, data analysis, and AI integration in a remote setting.

The role emphasizes collaboration with data teams, hands-on modeling with R/Python, and the use of Snowflake, PowerBI, and Git to drive department projects while meeting deadlines.

Qualifications

• Bachelor’s degree in a quantitative field; master’s preferred.
• Finance and statistical modeling knowledge preferred.
• Experience with data preparation and model validation is a plus.

Responsibilities

• Develop knowledge of Treasury Analytics model inventory and lifecycle.
• Support data preparation, model training, validation, testing, and monitoring.
• Work with large datasets using Snowflake, PowerBI, and Git.
• Contribute to projects using R and/or Python.

Skills

Quantitative analysis

Data interpretation

Team collaboration

Python

R

Education

Bachelor's degree in Applied Mathematics, Economics, Finance/Accounting, Statistics, Data Science, or related field

Tools

Snowflake

PowerBI

Git

Python

R

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.