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Global Quantitative Data Analytics Programme, Summer 2027 Analyst - London

Bank of America

2027Summer InternshipUK · London, United KingdomFinancial ServicesOpen
Deadline: 11 Oct 2026 (37d)

Summer internship applying quantitative and data analysis skills within Global Risk Management.

Full job description

About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. The team: Summer Analysts applying for this Global Quantitative Data Analytics Programme will join the Global Risk Management team. Global Risk Management (GRM) is an enterprise control function providing independent risk management for Bank of America, providing independent second-line oversight of risk-taking activities and developing, validating, and implementing risk management measures. Programme Overview The Global Quantitative Data Summer Analyst Programme is a 10-week internship providing insight into how quantitative analysis, data and model-related activities support effective risk management. You will gain exposure to how GRM uses analytical techniques, data-driven insights, and model lifecycle processes to identify, measure, monitor and manage risk, potentially including model development, model risk management, risk analytics, data analysis, stress testing, scenario analysis, or reporting. Responsibilities: - Supporting analysis of data, models, methodologies or risk processes to help inform business and risk management decisions - Applying quantitative, analytical or problem-solving skills to projects aligned to your assigned team - Helping interpret data, trends or model outputs and communicate findings to technical and non-technical stakeholders - Supporting activities across the model lifecycle - Conducting research and analysis to support risk assessments, scenario analysis, reporting or governance - Contributing to process improvements, documentation, controls or analytical tools - Partnering with Risk Managers, quantitative specialists, technology partners and business stakeholders - Building relationships across Global Risk through project work, networking, mentoring and development opportunities Eligibility Candidates are required to be pursuing a Bachelor's or Master's degree from an accredited college or university with a completion time frame between September 2027 and July 2028. On track for a minimum 2:1 degree classification (or equivalent). Must be available to join the programme from June 2027 to August 2027. What we are looking for Essential: - Clear motivation for exploring a quantitative, data or analytical career within risk management and financial services - Interest in how financial institutions identify, measure, monitor, and manage risk using data, models, and analytical judgement - Strong analytical, numerical, and problem-solving skills, with sound judgement and attention to detail - Ability to structure analysis and communicate technical concepts clearly - Intellectual curiosity, critical thinking, and willingness to learn technical concepts - Ability to work independently and collaboratively in a fast-paced environment - Commitment to continuous learning, operational excellence, integrity, and professional conduct - Fluency in English; a second language may be advantageous Desired: - Exposure to quantitative, analytical or data-related disciplines such as statistics, probability, data analytics, machine learning or financial modelling - Familiarity with analytical tools or programming languages such as Python, R, C++, MATLAB, SQL, Tableau, Power BI or similar - Knowledge of risk management, financial products, markets or quantitative finance concepts - Interest in model lifecycle activities

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