Quantitative Data Analyst Summer Analyst Program

About the role

The Quantitative Data Summer Analyst Program is a 10-week internship at Bank of America designed to develop quantitative and analytical skills through real-world financial projects across multiple business lines.

Program Overview

• 10-week summer internship focused on quantitative and analytical talent development.
• Interns work on real financial challenges with assigned teams.
• Includes learning, networking, mentorship, and professional development.
• Supports five business lines: Global Risk, CFO Group, Enterprise Credit, Consumer & Small Business, Analytics & Insights.
• Intern assignments align with business needs and skillsets.
• Locations include Atlanta, Charlotte, Chicago, and New York City.

Potential Roles

• Quantitative Analyst: Apply mathematical/statistical models to financial and risk problems.
• Skills include Python, C++, R, MATLAB, Java programming.
• Data Analyst: Collect, clean, analyze data, extract insights without complex modeling.
• Skills include data visualization tools like Tableau, Hadoop, PowerBI, and programming in Python, R, SQL, Java.
• Interns rank preferred role and location during application.
• Assignments depend on business needs and intern skills.

Typical Responsibilities

• Extract, process, and interpret data to support decision-making.
• Conduct research and analysis using internal and public data.
• Apply quantitative and analytical methods to business-specific financial challenges.
• Engage in projects aligned with assigned business line.
• Collaborate with teams to provide insights and solutions.
• Support risk and financial management initiatives.

Business Lines

• Global Risk Management: Manage company-wide risk and regulatory relationships.
• Chief Financial Officer Group: Financial management, reporting, planning, and automation.
• Enterprise Credit: Credit underwriting, monitoring, data management, and technology.
• Consumer & Small Business Banking: Strategic growth, product management, digital, marketing.
• Analytics, Modeling & Insights: Client insights, analytics, research, and decision sciences.

Qualifications

• Bachelor’s or direct Master’s degree expected between Nov 2027 and Aug 2028.
• Majors: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering.
• Preferred minimum GPA: 3.5.
• Advanced programming skills in Python, SQL, R, C++, MATLAB, or Java required.
• Data Analyst candidates should know Tableau, Hadoop, PowerBI.
• Early application recommended due to rolling recruitment and assessments.