Global Quantitative Data Analytics, Summer 2027 Analyst – London

Global Quantitative Data Analytics, Summer 2027 Analyst – London Overview

Join Bank of America as a Summer Analyst in the Global Quantitative Data Analytics Programme, where you will be part of the Global Risk Management team. This 10-week internship offers a unique opportunity to delve into how quantitative analysis and data support effective risk management within the bank.

Responsibilities

• Assist in analyzing data, models, methodologies, or risk processes to support business and risk management decisions.
• Utilize quantitative, analytical, or problem-solving skills on projects related to your assigned team.
• Help interpret data, trends, or model outputs and effectively communicate findings to both technical and non-technical stakeholders.
• Support various activities across the model lifecycle, including development, validation, implementation, monitoring, documentation, or usage of models, depending on team alignment.
• Conduct research and analysis using both internal and external information to aid in risk assessments, scenario analysis, reporting, or governance.
• Contribute to process improvements, documentation, controls, or analytical tools that enhance team efficiency.
• Collaborate with Risk Managers, quantitative specialists, technology partners, and business stakeholders to understand risk identification, measurement, and management.
• Build relationships across the Global Risk Management team through project work, networking, mentoring, speaker sessions, and development opportunities.

Requirements

• Candidates must be pursuing a Bachelor’s or Master’s degree from an accredited institution, with graduation expected between September 2027 and July 2028.
• Applicants should be on track for a minimum 2:1 degree classification or equivalent.
• Availability to participate in the program from June 2027 to August 2027 is required.
• Candidates who excel during the internship may be offered full-time positions starting in July 2028, with some business lines potentially offering January or April start dates.
• A clear motivation for a career in quantitative, data, or analytical roles within risk management and financial services is essential.
• Interest in how financial institutions utilize data, models, and analytical judgment to manage risk is required.
• Strong analytical, numerical, and problem-solving skills, along with attention to detail, are necessary.
• Ability to structure analysis and communicate technical concepts clearly to diverse audiences is crucial.
• Intellectual curiosity, critical thinking, and a willingness to learn technical concepts are important.
• Candidates must be able to work both independently and collaboratively in a fast-paced environment.
• Commitment to continuous learning, operational excellence, integrity, and professional conduct is expected.
• Fluency in English is mandatory; knowledge of a second language is a plus.
• Exposure to quantitative, analytical, or data-related fields such as statistics, probability, data analytics, machine learning, or financial modeling is desirable.
• Familiarity with analytical tools or programming languages such as Python, R, C++, MATLAB, SQL, Tableau, or Power BI is advantageous.
• Understanding of risk management, financial products, markets, or quantitative finance concepts is beneficial.
• Interest in model lifecycle activities, including development, validation, monitoring, governance, or model use is preferred.

Benefits

• Competitive salary and benefits package.
• Formal training at the start of the internship, complemented by on-the-job learning.
• Opportunities for mentorship and participation in speaker events.

Degree Requirement: Bachelor’s (with 2:1)

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