Quantitative Data Summer Analyst Program

Job Description

Quantitative Data Analytics Summer Analyst Program | Bank of America

The Tone:
This is a 10-week full-time summer internship at Bank of America, with placements in Atlanta, Charlotte, Chicago, and NYC Metro. Bank of America is a leading global financial institution guided by a common purpose to help make financial lives better. This program offers an opportunity for quantitative and analytical talent to apply their skills to specific financial challenges, develop their careers, and contribute to various critical lines of business. Interns will engage in challenging projects that make a direct impact on the organization.

The TL;DR
• Role: Early Career
• Type: Fulltime
• Location: In-person, Atlanta, Charlotte, Chicago, NYC Metro

• Team: Interns are placed on a specific team 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: Develop and coach quantitative and analytical talent by applying quantitative and analytical methods to specific financial challenges and supporting data-driven decision-making across the organization.
• Tech Stack: Python, C++, R, MATLAB, JAVA, SQL, Tableau, Hadoop, PowerBI

What You’ll Actually Do
• Apply quantitative and analytical methods to understand and solve financial and risk management problems.
• Collect, clean, and analyze data to extract actionable insights without necessarily specializing in complex model development.
• Extract, process, and interpret various data types to support decision-making, including the potential for complex modeling.
• Conduct comprehensive research and analysis, assessing internal and public data, to provide micro and macro views of risk and/or financial management.
• Leverage quantitative and analytical knowledge to address specific financial challenges and projects aligned with your business placement.

The Must-Haves
• Background: Bachelor’s or Bachelor’s direct to Master’s degree from an accredited college or university, with a major in Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or similar course of study. This is an entry-level program.
• Experience: Candidates must be graduating between November 2027 and August 2028. Advanced proficiency in programming languages and analytical tools is required.
• Skills: Python, SQL, R, C++, MATLAB, Java, Financial and mathematical modeling, Data structures, Data integration, Data cleaning.
• Bonus: A minimum GPA of 3.5 is preferred. Candidates interested in the Data Analyst profile should possess proficiencies in data visualization tools, including but not limited to Tableau, Hadoop, and/or PowerBI.