Quantitative Data Analytics Summer Analyst Program - 2027

Quantitative Data Summer Analyst Program (QDAP) Overview

The Quantitative Data Summer Analytics Program is a 10-week summer internship and a precursor to the Global Quantitative Data Analytics 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 work on challenging projects and participate in learning and professional development opportunities, networking and volunteer events, mentorship, speaker series, and more.

Lines of Business

The program spans five lines of business. You will support the specific business you are hired into. Businesses include:

1. Global Risk Management
2. Chief Financial Officer Group
3. Enterprise Credit
4. Consumer & Small Business Banking
5. Analytics, Modeling & Insights

You must choose one line of business during the application process to be considered for that track.

What You’ll Do – Explore Potential Roles

When completing the application, you will have the opportunity to stack rank the profile of interest. Intern assignments are developed based on business need and aligned to skill set and therefore cannot be guaranteed.

Quantitative Analyst

• Apply mathematical and statistical models to understand and solve financial and risk management problems.
• Skills include financial and mathematical modeling and proficiency in programming languages such as Python, C++, R, MATLAB and/or Java.

Data Analyst

• Collect, clean, analyze data, and extract insights without necessarily specializing in complex model development.
• Skills include data structures, data integration, and data cleaning.
• Proficiency in data visualization tools such as Tableau, Hadoop and/or Power BI, and programming languages such as Python, R, SQL and/or Java.

A Day in the Life

As a Summer Analyst, you will be placed on one team where your responsibilities may include:

• Extracting, processing, and interpreting data to support decision-making, with 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 aligned to your business.

Lines of Business Descriptions

Global Risk Management

• Global Risk Management (GRM) leads company-wide initiatives for managing risk and sustaining a strong risk culture, including the development and implementation of independent risk management measures.
• GRM is responsible for managing the Bank’s risk framework and key risk types, including strategic risk, credit risk, market risk, liquidity risk, operational risk, compliance risk, and reputational risk.
• We oversee governance and strategy for global risk management, including relationships with key regulators and supervisory institutions worldwide.

Chief Financial Officer Group

• The Chief Financial Officer (CFO) Group is responsible for the overall financial management of the company and is an integral part of the bank’s structure, ensuring efficient and proactive management of finance, regulatory, and capital requirements.
• As an essential partner for all lines of business and support functions, the team helps the organization achieve its goals, drive sustained growth and profitability, and deliver on the tenets of Responsible Growth for shareholders, teammates, and communities.
• Responsibilities include accounting, financial and regulatory reporting, balance sheet management, financial planning and analysis, treasury, investor relations, corporate investments, and tax.
• We leverage technology to automate processes, standardize reporting, and increase productivity.

Enterprise Credit

• Enterprise Credit is an integrated credit underwriting, monitoring, credit data management, and credit technology transformation organization supporting clients across the bank’s eight lines of business, including consumers, companies, and institutions.
• Data management includes internal and regulatory reporting and partnering with the credit technology transformation team to ensure data and appropriate controls are built into credit systems to drive transparency and support digitization.

Consumer & Small Business Banking

• Consumer & Small Business Banking drives strategic growth initiatives across core business units to serve client and business needs.
• The group supports high-priority strategic initiatives spanning functions such as strategy, product management, digital, marketing, sales enablement, operations, payments, and analytics.
• You will be exposed to multiple parts of the business and learn how to develop, test, launch, and operationalize new strategies to better serve clients.
• Retail Banking provides mass market U.S. consumers with the full range of financial products and services through award-winning digital banking capabilities and a retail banking network.
• We strive to be the world’s best digital bank, backed by thousands of financial centers across the country, offering clients secure access to manage their money anytime, anywhere.

Analytics, Modeling & Insights

• The Analytics, Modeling and Insights (AMI) team is responsible for client insights that enable 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 business strategies.

Qualifications

• 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.
• 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 have proficiency in data visualization tools, including but not limited to Tableau, Hadoop and/or Power BI.

Location & Program Details

• Locations: Atlanta, Charlotte, Chicago, and NYC Metro. Based on the line of business applied to, you will be asked to rank your top 3 locations where you would accept an offer.
• Full/Part-time: Full-time
• Hours per Week: 40.00
• Shift: 1st shift
• Travel: On an as-needed basis