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.

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

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 programmes 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.
• Training and mentoring of junior colleagues.

Assistant Vice President Expectations

• 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.