Graduate Programme Overview
If you're a recent graduate or soon-to-be graduate, join us and unlock a world of carefully curated experiences, knowledge and connections to shape your career.
Along the way, you can expect all the training and support you need to make your mark on the world. To put it simply, we’ll empower you to help determine how we do things and where we go next.
Our graduates are a vital part of our success and we welcome applications from people from all walks of life. Whoever you are and wherever you want to join us, if you’re curious, creative and ambitious, this is a world in which you can truly belong.
Why the Quantitative Analytics Graduate Programme?
Our industry-leading group provides model development, analytics and valuable quantitative advice to businesses across the bank.
Applying to our programme means the opportunity to join one of our specialist teams, including:
Consisting of specialised modellers and developers, the team directly supports the Capital Markets division of the bank. Team members are responsible for researching, innovating, developing, testing, implementing and supporting all quantitative models used for front-office pricing, valuation adjustments, along with market and counter-party credit risk management across all asset classes.
Joining a group that partners with trading, structuring and risk management functions across the bank, you’ll gain broad exposure to a variety of classic and contemporary financial engineering modelling techniques and markets instruments to help drive business strategy.
Statistical Modelling Quants
Comprised of data scientists, developers, data engineers and researchers. The team directly supports the Finance, Treasury, Fraud Surveillance, Stress Testing, Climate Risk, as well as the Wholesale and Retail Credit Risk operations within the bank.
Team members deliver solutions to develop, test, implement and support all statistical and econometrics models for the estimation of default probabilities, recovery rates, exposures at default, forecasting models for net revenue, balance sheet projections, scenario generation/expansion, operational risk, climate change, economic capital models and machine learning models for fraud detection, all while using the latest model development approaches and advancements in technology.
The chance to make an impact
As a Quantitative Analytics Graduate, your experience at Barclays will begin with several weeks of intensive training, covering product and business knowledge as well as other skills you’ll need for a successful start. After training, you’ll join a specific desk and collaborate with colleagues on active projects, giving you ample opportunities to grow and learn.
1-2 year targeted, fast-track programme focused on developing specialist technical expertise.
Quantitative Analytics at Barclays
Barclays 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.
Who we're looking for
To be considered for this programme, you must be motivated and curious and have completed or be in your final year of an undergraduate or postgraduate qualification, or equivalent, in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects. Ideally, you'll have mathematical and programming skills (ideally in Java, C++, or Python) along with a knack for logical thinking and creative problem solving. You'll be a good communicator and team player.
Working in London
If you love the buzz of city life, our global HQ is the place to be.
Our London hub is in Canary Wharf, at the heart of London’s financial district. Here, you won’t just be perfectly placed to explore the nation’s capital; you’ll be in a place where you can explore all of the many functions and opportunities of a global financial giant.
Barclays will accept applications from candidates who require visa sponsorship to work in the UK.
It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, 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.