Quantitative Data Analytics Summer Analyst Program

About the Role

The Quantitative Data Summer Analytics Program is a 10-week internship 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, learning and professional development opportunities, networking events, and mentorship.

The program extends across five lines of business. 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

You must choose one of these lines of business.

Key Responsibilities

As a Summer Analyst, your primary responsibilities may include:

• Extracting, processing, and interpreting data to support decision-making.
• Conducting research and analysis to provide insights into risk and/or financial management.
• Applying quantitative and analytical knowledge to specific financial challenges and projects.

Potential Roles

• Quantitative Analyst:

• Apply mathematical and statistical models to understand and solve financial and risk management problems.

• Skills include financial and mathematical modeling, proficiencies in programming languages including Python, C++, R, MATLAB, and/or Java.

• Data Analyst:

• Collect, clean, and analyze data, and extract insights.

• Skills include data structures, data integration, and data cleaning, proficiencies in data visualization tools including Tableau, Hadoop, and/or PowerBI, and programming languages including Python, R, SQL, and/or Java.

Note: Intern assignments are developed based on business need and aligned to skillset and therefore cannot be guaranteed.

Locations

• Atlanta
• Charlotte
• Chicago
• NYC Metro

Lines Of Business Descriptions

• Global Risk Management (GRM): Leads company-wide initiatives for managing risk and sustaining a strong risk culture. Responsible for managing the Bank's risk framework and key risk types including strategic, credit, market, liquidity, operational, compliance, and reputational risk.
• Chief Financial Officer (CFO) Group: Responsible for the overall financial management of the company. Responsibilities encompass accounting, financial and regulatory reporting, balance sheet management, financial planning and analysis, treasury, investor relations, corporate investments, and tax.
• Enterprise Credit: An integrated credit underwriting, monitoring, credit data management, and credit technology transformation organization.
• Consumer & Small Business Banking: Drives strategic growth initiatives across core business units to serve client and business needs.
• Analytics, Modeling, and Insights (AMI): Responsible for client insights that enable partners to make better decisions. Uses analytics, research, modeling, decision sciences, measurement, and reporting.

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 possess proficiencies in data visualization tools, including but not limited to Tableau, Hadoop, and/or PowerBI.

Note: Internship and full-time recruiting occurs on a rolling basis. It’s best to submit your application early.

Employment Details

• Full / Part-time: Fulltime
• Hours Per Week: 40.00
• Shift: 1st shift