Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Global Quantitative Management Full Time 2026 Analyst - London

Bank of America
City of London
2 days ago
Create job alert

Global Quantitative Management Full Time Analyst

London, UK

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.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

The team:

The Global Quantitative Programme assigns Analyst’s to teams across the enterprise, opportunities include positions supporting various business groups, such as the below:

  • Global Risk Analytics
  • Model Risk Management
  • Global Markets Risk
  • Enterprise Financial Risk
  • Chief Financial Office
Programme Overview

The Quantitative Management Analyst Programme 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 holistic view of our operations and decision -making processes.

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, educational speaker events and mentorship throughout.

Responsibilities:

A Quantitative Analytics Development Programme is a two-year programme in which participants rotate through two, one-year rotations across the enterprise. Throughout the programme students will complete on-the-desk work for their assigned rotation as well 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 risk scenarios
  • Quantitative modelling, 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.
  • 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.
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 2025 and July 2026. Completion means that you have completed all final exams, coursework, and have no outstanding requirements for graduation. Please note that we reserve the right to request evidence of this completion date before extending an offer.
  • 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 July 2026
What we are looking for

Essential:

  • Have understanding and expertise in relevant technical areas which can include, statistics, time series analysis, probability theory, numerical analysis, optimization techniques, machine learning or high-performance computing.
  • Have experience in computer programming, preferably in Python or C++
  • Strong technical writing and clear verbal communication skills
  • Fluency in English, which is essential for all roles. A second language may be advantageous.

Desired:

  • Ability to work under pressure and deliver to tight deadlines.
  • Ability to work independently, multitask and properly prioritize work.
  • 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.

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 dependents, 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 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


#J-18808-Ljbffr

Related Jobs

View all jobs

Global Quantitative Data Analytics, Summer 2026 Analyst - London

Global Quantitative Data Analytics, Summer 2026 Analyst - London

2026 | EMEA | London | Wealth Management, Quantitative Finance | Summer Analyst

2026 EMEA London Wealth Management, Quantitative Finance Summer Analyst

2026 - Quantitative Finance Analyst & Associate Program - London

College Graduates - Full-Time - Junior Quantitative Trader (London - 2026)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.