Quantitative Data Summer Analyst

Job Description

Quantitative Data Analytics Summer Analyst Program – 2027 | Bank of America

The Tone:
This is a 10-week full-time internship at Bank of America, located in Atlanta, Charlotte, Chicago, and NYC Metro. Bank of America is a 219,508-person organization guided by a common purpose to help make financial lives better through the power of every connection. This program is designed to develop and coach quantitative and analytical talent, offering opportunities to learn, grow, and apply quantitative methods to specific financial challenges within a global institution.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, Atlanta, Charlotte, Chicago, NYC Metro

• Team: Part of the Quantitative Data Analytics Program, placed within one of five lines of business: Global Risk Management, Chief Financial Officer Group, Enterprise Credit, Consumer & Small Business Banking, or Analytics, Modeling & Insights.
• Mission: Apply quantitative and analytical methods to understand and solve financial and risk management problems, extracting insights to support decision-making across the bank.
• Tech Stack: Python, C++, R, MATLAB, JAVA, Tableau, Hadoop, PowerBI, SQL

What You’ll Actually Do
• Quantitative Analysis: Apply mathematical and statistical models to understand and solve financial and risk management problems.
• Data Insight: Collect, clean, and analyze data to extract insights without necessarily specializing in complex model development.
• Data Processing: Extract, process, and interpret data to support decision-making, including the potential for complex modeling.
• Strategic Research: Conduct research and analysis, assessing internal and public data to provide micro and macro views of risk and financial management.
• Project Application: Apply quantitative and analytical knowledge to specific financial challenges and projects relevant to your business alignment.

The Must-Haves
• Background: Bachelor’s or Bachelor’s direct to Master’s degree from an accredited college or university in Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or a similar course of study. Graduation dates must be between November 2027 and August 2028.
• Experience: Advanced programming language and analytical tool skills are required. Candidates interested in the Data Analyst profile should possess proficiencies in data visualization tools.
• Skills: Python, SQL, R, C++, MATLAB, Java. For Data Analyst profile: Tableau, Hadoop, PowerBI.
• Bonus: A minimum GPA of 3.5 is preferred.