Summary
Bank of America is committed to making financial lives better through every connection. The Quantitative Data Summer Analyst Program is a 10-week internship designed to develop and coach quantitative and analytical talent while engaging in challenging projects and professional development opportunities.
Responsibilities
- 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
Skills
- Degree Type: Bachelor's or Bachelor's direct to Master's degree from an accredited college or university
- Graduation Dates: between November 2027 and August 2028
- Major/Course of Study: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or other similar course of study
- 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
- GPA: 3.5 minimum GPA preferred
Qualifications
Must Haves
- Degree Type: Bachelor's or Bachelor's direct to Master's degree from an accredited college or university
- Graduation Dates: between November 2027 and August 2028
- Major/Course of Study: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or other similar course of study
- 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
Nice to Haves
- GPA: 3.5 minimum GPA preferred
Benefits
- Learning and professional development opportunities
- Networking and volunteer events
- Mentorship
- Speaker series