Summer 2027 Quantitative Intern (Remote)

SouthState Bank; Winter Haven (FL); Remote; USD 18,000 - 30,000; Full time

Job summary

SouthState Bank is seeking a Quantitative Intern to support the Treasury Analytics team with exposure to Asset Liability Management and CECL, including model development and data analysis.

The role offers remote work with a 40-hour workweek, Monday–Friday, at $22 per hour. Ideal candidates hold a math/statistics/economics related degree and proficiency in Python or R.

Qualifications

• Bachelor's degree in Applied Mathematics, Economics, Finance/Accounting, Statistics, or Data Science.
• Finance and statistical modeling knowledge preferred.
• Remote work environment; 5 days a week; 40 hours weekly.

Responsibilities

• Develop knowledge of the Treasury Analytics model inventory and Model Risk Management Lifecycle.
• Develop knowledge of data preparation, model training, validation, testing, and monitoring.
• Gain exposure to large databases using Snowflake, PowerBI, and Git.
• Contribute to department projects using R and/or Python.

Skills

Quantitative skills

Analytical skills

Data interpretation

Team collaboration

R or Python

Snowflake/PowerBI/Git

Education

Bachelor's degree in relevant field

Master's degree preferred

Tools

Snowflake

PowerBI

Git

R

Python

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.