Remote Quantitative Intern - ALM & CECL Analytics

SSB002 SOUTHSTATE BANK, NATIONAL ASSOCIATION; United States; Remote; USD 25,000 - 36,000; Full time

Benefits offered by this job

Remote work possibility

Competitive hourly pay

Job summary

SouthState Bank, National Association is seeking a Quantitative Intern to support the Treasury Analytics department. You will gain exposure to Asset Liability Management (ALM) and CECL teams, contributing to model development, governance, and data analysis.

The role involves working with large datasets using Snowflake, PowerBI, and Git, and contributing with R or Python across project workstreams in a remote-enabled environment.

Qualifications

• Bachelor’s degree in a quantitative field such as Applied Mathematics, Economics, Finance/Accounting, Statistics or Data Science.
• Master’s degree preferred for advanced roles.
• Finance and statistical modeling knowledge is a plus.

Responsibilities

• Develop knowledge of the Treasury Analytics model inventory and MRM lifecycle.
• Prepare data, train models, validate, test, and monitor workflows.
• Work with large databases using Snowflake, PowerBI, and Git.
• Contribute to projects using R and/or Python.

Skills

Quantitative skills

Data interpretation

Team collaboration

Work ethic

Oral and written communication

R or Python

Deadline-driven

Education

Bachelor's degree in Applied Mathematics/Economics/Finance/Accounting/Statistics/Data Science

Master’s degree preferred

Tools

Snowflake

PowerBI

Git

R

Python

Job description

SouthState Bank, National Association is seeking a Quantitative Intern to support the Treasury Analytics department. You will gain exposure to Asset Liability Management (ALM) and CECL teams, contributing to model development, governance, and data analysis.

The role involves working with large datasets using Snowflake, PowerBI, and Git, and contributing with R or Python across project workstreams in a remote-enabled environment.