Global Quantitative Analytics 2025 Analyst

1 week ago

Charlotte, United States Bank of America Full time

Global Risk Development Program (QMAP) - 2025

What would you like the power to do?

At Bank of America, we value being a Great Place to Work®. We recognize that talented, engaged and satisfied employees are the foundation to help make the financial lives of our customers and clients better.

Bank of America provides a diverse range of banking and nonbanking financial services and products domestically and internationally in more than 35 countries .

Global Quantitative Analytics Program Overview:

The Quantitative Analytics Development Program focuses on the application of quantitative methods to solve complex business challenges.As an analyst, you will gain real, in-depth experience and be provided micro and macro views of risk management for the bank. You will determine solutions to business problems by applying quantitative methods to specific financial challenges.

Quantitative analyst roles span across the enterprise with the majority falling under Global Risk. However, the breadth of these roles provides Quant talent with exposure to various lines of business as well as a holistic view of our operations and decision-making processes.

Your development is our top priority with on-the-job support, events and mentorship throughout. These opportunities include but are not limited to:

  • Bank-provided learnings focused on our seven key risk types (Strategic, Credit, Market, Liquidity. Operational, Compliance and Reputational Risk), as well as topics such as Modeling Principles, Software Development Life Cycle, Data Science and Analytics, latest Regulatory developments and more
  • Peer Mentorship Program
  • Enterprise Executive Speaker Series
  • Employee Diversity & Inclusion Networks - LEAD for Women, Black Professional Group, LGBT+ Pride, and more
  • Continuous Educational Speakers and Events
  • Networking Events

A Day in the Life

The Quantitative Analytics Development Program is a two-year development program in which participants rotate through two, one-year rotations across the enterprise. Throughout the program, students will complete on-the-desk work for their assigned rotation as well as have opportunities to participate in ad hoc enterprise-critical projects that may arise. As an Analyst, you will be placed into rotations where your primary responsibilities may include but are not limited to:

  • Developing emerging risk assessments and analyzing credit risk scenarios
  • Quantitative modeling, including building forecast models, pricing models, and stress test models
  • Conducting research and analysis to provide a micro view of risk management in a particular business line and a macro view of risk management for the bank as a whole
  • Assessing market trends and providing quantitative data for internal partners and ultimately, clients
  • Applying quantitative knowledge to specific financial challenges and projects specific to your business alignment
  • Implementing solutions applying both qualitative and quantitative methods
  • Networking with risk executives and key stakeholders to cultivate meaningful relationships across various lines of business

Quantitative Analytics Opportunities

The Quantitative Analytics Development Program assigns analysts to teams across the enterprise. Rotational opportunities include positions supporting various business groups, such as the below:

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

*Team assignments are developed based on business need and aligned to skillset and therefore cannot be guaranteed.

Qualifications

  • Candidates are required to be pursuing an undergraduate or masters degree from an accredited college or university. Eligible candidates must have a graduation timeframe between November 2024 and August 2025.
  • GPA of 3.5 or higher is preferred
  • Common areas of study include but are not limited to:
    • Economics
    • Data Science
    • Financial, Stochastic, and other applied Math
    • Statistics and econometrics
    • Computer Science
    • Engineering
    • Operations Research
    • Other sciences, such as Physics
  • Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results. Additionally, candidates should exhibit strong technical skills, along with a broad understanding of the economy, financial markets, and financial institutions. Candidates should also show proficiencies in leadership, teamwork, problem solving & analytical skills, verbal and written communication, and professionalism.
  • Masters candidates should have no more than 2 years of work experience.
  • Candidates must have advanced programming skills, including but not limited to Python, SQL, R, and/or C++.
  • Bank of America does not complete third party forms from colleges, universities, or other parties.

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