The team that delivers world-class solutions

Our Quantitative Analytics team is a global organisation of highly specialised modellers and developers responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for valuation and risk management across all asset classes. The ability to articulate your ideas will be crucial as you work closely with business partners to develop models and tools. Joining a group that partners with traders and stakeholders across the bank, you’ll gain the widest exposure to a variety of modelling techniques and instruments to help drive business strategy. 

The chance to make a real impact

As an intern in the Quantitative Analytics team, you’ll gain valuable exposure to real-world problems in our dynamic and invigorating environment. During your internship, you will have the chance to work on cutting-edge quantitative and technology problems, which include:

apply quantitative techniques to solve real-world business problems

research, develop and implement new models and solutions

improve our computing or data infrastructure. 

A place where you can thrive

At Barclays, you’ll be surrounded by experts in the industry, who will help you achieve your goals and ambitions. Our collaborative, supportive environment gives you the chance to build solid relationships with senior leaders and peers alike. During the programme, you’ll also benefit from in-depth, comprehensive training.

What’s more, this could be the beginning of an exciting and rewarding career. We offer full-time employment opportunities to those interns demonstrating excellent work ethics and technical competence upon the completion of their internship.

Who we're looking for

Logical problem-solvers do well here. To be considered for this programme, you must be an undergraduate (for our Analyst role) or postgraduate (for our Associate role) with an anticipated graduation date between December 2025 – June 2026. You should be working towards an undergraduate or postgraduate degree in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects, with strong programming skills, particularly Python, C++, or Java.

Ideally, you would also have a GPA of 3.2 or above and you’ll be great at communicating and collaborating – driven to identify the best solution to a problem and then motivated to deliver that solution at pace. You’ll also be ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes. These are qualities people at Barclays have in abundance, and we’ll help you further develop them from the day you arrive.

It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, protected veteran status, genetic information, or any other basis protected by law.

Purpose of the role

To support the day-to-day operations of the Quantitative Analytics (QA) group by providing analytical insights and expertise that will help our business leaders and stakeholders make informed decisions, support existing trading strategies, develop new products strategies and services, as well as identify new market opportunities

Accountabilities

Application of the latest quantitative techniques to solve business problems, research, development, and implementation of new models and solutions and improve the bank’s computing and data infrastructure.Collaboration with cross-functional teams and senior management to progress business initiatives.Participation in training and development programs to enhance skills and knowledge. Conduct research to support strategic decision making, prepare presentations and reports to communicate research findings, and collaborate with senior management to implement research findings.Design, development of the quantitative research framework using domain specific languages.Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products.

Analyst Expectations

Will have an impact on the work of related teams within the area.Partner with other functions and business areas.Takes responsibility for end results of a team’s operational processing and activities.Escalate breaches of policies / procedure appropriately.Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.Advise and influence decision making within own area of expertise.Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.Make evaluative judgements based on the analysis of factual information, paying attention to detail.Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.Guide and persuade team members and communicate complex / sensitive information.Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Read more