Global Quantitative Data Analytics Summer 2026 Analyst Internship (London)

Global Quantitative Data Analytics Summer 2026 Analyst Internship (London)

The Team:

Global Risk Management (GRM) leads company-wide initiatives for managing risk and sustaining a strong risk culture, including the development and implementation of independent risk management measures. GRM is responsible for managing the Bank's risk framework and key risk types including strategic risk, credit risk, market risk, liquidity risk, operational risk, compliance risk and reputational risk. We oversee the company’s governance and strategy for global risk management, including relationships with key regulators and supervisory institutions worldwide.

Programme Overview:

The Global Quantitative Data Summer Analyst Programme is a 10-week summer internship and precursor for the Global Quantitative Data Analyst Programme 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 and opportunities to advance your career and development in addition to engaging in learning and professional development opportunities, networking and volunteer events, mentorship, speaker series, and more.

Training and Development:

Your training and development is our top priority with extensive formal training offered at the start of the programme in addition to on-the-job support, events, and mentorship throughout.

Responsibilities:

• Extracting, processing, and interpreting data to support decision-making, including the potential for complex modeling
• Conducting research and analysis, including assessing internal and public data, to provide a micro view of risk and/or financial management in a particular business line and a macro view for the organisation
• Applying quantitative and analytical knowledge to specific financial challenges and projects specific to your business alignment
• Assessing market trends and providing quantitative data for internal partners and ultimately, clients
• Implementing solutions applying both qualitative and quantitative methods
• Networking with risk executives and key stakeholders to cultivate meaningful relationships across various lines of business.

Eligibility

• Candidates are required to be pursuing an undergraduate or advanced degree (Master’s or PhD) from an accredited college or university in quantitative disciplines such as Engineering, Mathematics, Statistics, Computer Science, Quantitative Finance, Data Analytics, or Economics. Academic semester and all studies should be complete, with a graduation timeframe between September 2026 and July 2027.
• Achieved minimum of 112 UCAS point (or equivalent) and on track for a minimum 2:1 degree classification (or equivalent)
• Able to join the programme in June 2026
• Candidates who perform well during the internship may be offered full time employment to commence in July 2027; some lines of business may also offer the opportunity of a January or April start date. You must be available to join on one of these start dates if offered, unfortunately we are unable to offer deferrals.

What we are looking for

Essential:

• Have understanding and expertise in relevant technical areas which can include numerical analysis, statistics, data analytics, time series analysis, probability theory, optimization techniques, machine learning or high-performance computing.
• Have experience in computer programming, preferably in Python, C++, R and/or MATLAB
• Strong technical writing and clear verbal communication skills
• Ability to work under pressure and deliver to tight deadlines.
• Ability to work independently, multitask and properly prioritize work
• Fluency in English, which is essential for all roles. A second language may be advantageous.
• Team-working, leadership and problem-solving skills are key qualities along with the proven ability to work in a fast-paced environment with a variety of people.

Desired:

• Have experience in working with data structures, data integration and data cleaning
• Experience in data visualization tools including Tableau, Hadoop and/or PowerBI
• Experience in financial and mathematical modeling

Our recruitment process

Analyst internship and full-time recruiting takes place on a rolling basis once our applications are open. Assessments often begin before the deadline, so it is best to submit your application early as this will give you the best chance of being considered for the role.

We care deeply about shaping the world of work to be an equal and inclusive one - and that starts with our recruitment process. We know just how important and valuable it is to have a wide range of skills, backgrounds and experiences shaping our work and ideas. We welcome applicants from all backgrounds, and we are proud to focus on attracting, retaining and developing diverse talent within Bank of America. Together, we aim to mirror the customers, clients, and communities we serve.

We are an equal opportunities employer, and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, being pregnant or on maternity leave, socio-economic background, responsibilities for dependants, physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.

What if I need workplace adjustments?

We’re committed to ensuring our online application process provides an equal employment opportunity to all job seekers. If you need a workplace adjustment to search for a job opening, need help completing your application or video interview, please email [email protected] and let us know. We will be more than happy to discuss the support you need, and we will respond to your email within two business days.

We offer a competitive Salary and Benefits package

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.