Remote Quantitative Intern: ALM & CECL Analytics

SouthState Bank; Columbia (SC); Remote; USD 25,000 - 36,000; Full time

Job summary

SouthState Bank is seeking a Quantitative Intern to join the Treasury Analytics team in a remote capacity. You will assist with model development, governance, and data analysis while leveraging Python or R for project work.

The ideal candidate is pursuing a degree in a quantitative field and has interest in ALM and CECL processes. This internship offers exposure to analytics tools and a collaborative team environment.

Qualifications

• 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.

Responsibilities

• 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

Skills

Quantitative skills

Analytical skills

Team collaboration

Interpersonal skills

Communication skills

Education

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

Master’s degree preferred

Tools

Snowflake

PowerBI

Git

R

Python

Job description

SouthState Bank is seeking a Quantitative Intern to join the Treasury Analytics team in a remote capacity. You will assist with model development, governance, and data analysis while leveraging Python or R for project work.

The ideal candidate is pursuing a degree in a quantitative field and has interest in ALM and CECL processes. This internship offers exposure to analytics tools and a collaborative team environment.