Quantitative Analytics Associate Graduate Programme 2027 London

Barclays; Greater London; On-site; GBP 32,000 - 52,000; Full time

Job summary

Barclays is recruiting for a Quantitative Analytics Graduate programme based in London. The role provides a pathway into a global team of model developers and data scientists supporting Markets and Risk across asset classes.

You will start with several weeks of intensive training on product knowledge and skills, then join a desk to work on active projects, gaining broad exposure and opportunities to grow within a world-class financial institution.

Qualifications

• Postgraduate qualification (Masters or higher) in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects.
• Strong programming skills and numerical/quantitative ability.

Responsibilities

• Develop and implement quantitative models to support pricing, risk and decision-making.
• Collaborate with traders, risk managers and finance teams to translate business needs into scalable tools.
• Contribute to development of high-performance trading platforms and risk systems.

Skills

C++

Python

English

Analytical thinking

Education

Masters in STEM

Tools

Git

Linux

Job description

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 Associate 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:

Markets Quants

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.

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 have completed (or be in the final year of) a postgraduate qualification, Masters or higher, in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects.

Ideally, You Would Also Have

• Mathematical and programming skills (ideally in C++, or Python)
• Logical thinking and problem-solving abilities
• Excellent communication skills and a team-oriented attitude
• Fluent written and spoken English
• Passion to learn about the banking sector, financial services industry, and capital markets

Barclays will accept applications from candidates who require visa sponsorship to work in the UK and will provide a skilled worker visa for successful applicants if they meet the Home Office’s eligibility criteria for a skilled worker visa. Successful applicants who are not eligible to receive a skilled worker visa, and who we are therefore unable to secure a skilled worker visa for, will be required to have their own legal right to work in the UK on a full-time basis from either February OR August 2027 (the month which will apply to you will be dependent on your chosen intake date) to August 2028.

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 the many functions and opportunities of a global financial giant. And if you’re technically minded, you’ll get more from your tech career by collaborating with other brilliant minds on game-changing innovations that are redefining the future of finance.

Purpose of the role

Bringing quantitative and analytical expertise to bear across the full spectrum of our Markets and Risk businesses. Our Early Careers colleagues are expected to play an important role in the design and development of risk management and trading strategies, through the use of quantitative analysis, mathematical modelling, and technology, with the aim of optimising trading processes, development practices, systems and infrastructure as well as identifying growth and investment opportunities.

Accountabilities

• Develop and implement quantitative models and strategies to enhance decision-making, pricing, and risk management.
• Design and maintain high-performance trading platforms and risk systems, integrating new features to improve reliability and user experience.
• Conduct research and data analysis to uncover market trends and drive innovation through advanced methodologies and technologies.
• Collaborate with traders, sales teams, and stakeholders in Risk and Finance to deliver customized solutions and translate business needs into scalable tech tools.
• Work cross-functionally with compliance, IT, and strategy teams to resolve system issues and continuously improve trading infrastructure.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.