Global Quantitative Data Analytics Program (QDAP) – Analytics, Modeling and Insights (AMI)
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.
The Analytics, Modeling and Insights (AMI) team is responsible for client insights that enable our partners to make better decisions. We use analytics, research, modeling, decision sciences, measurement and reporting to understand what clients and prospects think, feel and do, in order to anticipate next steps and inform our business strategies.
Global Quantitative Data Summer Analyst Program Overview
The Global Quantitative Data Summer Analyst Program is a 10-week Summer internship and precursor for the Global Quantitative Data Analyst Program designed to develop and coach quantitative and analytical talent.
As an intern, you will complete on-the-desk work with your assigned team and apply quantitative and analytical methods to specific financial challenges. Throughout the internship, you will engage in challenging projects and opportunities to advance your career and development in addition to engaging in learning and professional development opportunities, networking and volunteer events, mentorship, speaker series, and more.
The Quantitative Data Analyst Program extends across four lines of business. In your role, you will support the specific business you are hired into. The businesses include:
Global Risk Management
Chief Financial Officer Group
Enterprise Credit
Consumer & Small Business Banking
Analytics, Modeling & Insights
This job requisition is for the Consumer & Small Banking Business track. You must apply to the specific line of business requisition to be considered for that track.
What You’ll Do – Explore Potential Roles
Below you will find the job profiles/roles for QDAP. When completing the application, you will have the opportunity to stack rank the profile of interest.
Quantitative Analyst: Apply mathematical and statistical models to understand and solve financial and risk management problems; skills include but are not limited to financial and mathematical modeling, specifically proficiencies in programming languages including Python, C++, R, MATLAB and/or JAVA
Data Analyst: Broad responsibilities for collecting, cleaning, analyzing data, and extracting insights without necessarily specializing in complex model development; skills include but are not limited to data structures, data integration and data cleaning, specifically proficiencies in data visualization tools including Tableau, Hadoop and/or PowerBI and programming languages including Python, R, SQL and/or Java
Intern assignments are developed based on business need and aligned to skillset and therefore cannot be guaranteed.
A Day in the Life
As a Summer Analyst, you will be placed on one team where your primary responsibilities may include but are not limited to:
Extracting, processing, and interpreting data to support decision-making, including the potential for complex modeling
Conducting research and analysis, including assessing internal and public data, to provide a micro view of risk and/or financial management in a particular business line and a macro view for the organization
Applying quantitative and analytical knowledge to specific financial challenges and projects specific to your business alignment
Qualifications
Degree Type: Bachelor’s or Bachelor’s direct to Master’s degree from an accredited college or university
Graduation Dates: between November 2026 and August 2027
This internship is intended for students with 1-2 semesters to complete until their degree is conferred
Major/Course of Study: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or other similar course of study
GPA: 3.5 minimum GPA preferred
Candidates must have advanced programming language and analytical tool skills, including but not limited to Python, SQL, R, C++, MATLAB and/or Java
Candidates interested in the Data Analyst profile should possess proficiencies in data visualization tools, including but not limited to Tableau, Hadoop and/or PowerBI