Global Quantitative Analytics Internship 2025

2 weeks ago

New York, United States Bank of America Full time

Overview of the Global Risk Development Program (QMAP)

At Bank of America, we prioritize creating an exceptional workplace. We understand that a skilled, engaged, and satisfied workforce is essential to enhancing the financial experiences of our customers and clients.

About the Global Quantitative Summer Analyst Program:

This summer internship serves as a foundational experience for the Global Quantitative Analytics Development Program, aimed at nurturing and guiding analytical and quantitative talent for deployment across various sectors within Bank of America.

As an intern, you will immerse yourself in comprehensive experiences, gaining insights into both micro and macro perspectives of risk management. You will engage in hands-on work with your designated team, applying your quantitative expertise to address specific financial challenges.

Your growth is our utmost priority, supported by on-the-job training, events, and mentorship throughout your internship. Opportunities include:

  • Bank-sponsored learning focused on key risk categories (Strategic, Credit, Market, Liquidity, Operational, Compliance, and Reputational Risk), alongside topics such as Modeling Principles, Software Development Life Cycle, Data Science and Analytics, and recent Regulatory updates.
  • Mentorship from experienced professionals.
  • Access to the Enterprise Executive Speaker Series.
  • Participation in Employee Diversity & Inclusion Networks, including LEAD for Women, Black Professional Group, LGBT+ Pride, and others.
  • Continuous educational sessions and networking events.

A Day in the Life of a Summer Analyst

Quantitative Analytics internships span 10 weeks, providing participants with the chance to engage in various tasks utilizing programming, data analysis, modeling, and other technical skills to comprehend how the bank makes critical decisions. As a Summer Analyst, you will be assigned to a specific team where your main responsibilities may encompass:

  • Developing assessments of emerging risks and analyzing credit risk scenarios.
  • Creating quantitative models, including forecasting, pricing, and stress testing models.
  • Conducting research and analysis to provide detailed insights into risk management within a specific business line, as well as a broader view for the bank.
  • Evaluating market trends and supplying quantitative data for internal stakeholders and clients.
  • Applying quantitative knowledge to tackle specific financial challenges relevant to your business area.
  • Implementing solutions that integrate both qualitative and quantitative methodologies.
  • Building relationships with risk executives and key stakeholders across various business lines.

Opportunities in Quantitative Analytics

The Global Quantitative Summer Analyst Program assigns interns to teams throughout the organization. Internship roles may support various business sectors, including:

  • Global Risk Analytics
  • Corporate Treasury
  • Enterprise Credit Risk
  • Data, Digital & Global Marketing
  • Model Risk Management
  • Global Markets & Financial Risk
  • Enterprise Independent Testing

Qualifications

  • Applicants must be pursuing an undergraduate or master's degree from an accredited institution, with a graduation timeframe between November 2025 and August 2026.
  • A GPA of 3.5 or higher is preferred.
  • Common fields of study include, but are not limited to:
    • Economics
    • Computer Science
    • Data Science
    • Engineering
    • Financial, Stochastic, and other applied Mathematics
    • Operations Research
    • Statistics & Econometrics
    • Other STEM disciplines
  • Candidates should demonstrate a strong intellectual curiosity, a commitment to excellence, and a focus on achieving sustainable outcomes. Strong academic and technical skills, along with proficiencies in leadership, teamwork, problem-solving, analytical thinking, verbal and written communication, and professionalism, are essential.
  • Advanced programming skills in languages such as Python, SQL, R, and/or C++ are required.
  • Master's candidates should have no more than two years of work experience.

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