Quantitative Analytics Analyst & Associate Graduate Programme 2025 (Glasgow)

Job Details

Quantitative Analytics Analyst & Associate Graduate Programme 2025 (Glasgow)

Graduate Programmes at Barclays

Our Graduate programmes deliver immersive experiences, transformative development and incredible support – giving each graduate the best possible start to their career. You’ll learn continually. From bespoke training to courses on our e-learning platform, you’ll become more capable and better-equipped every day.

Whichever programme you choose, you’ll do meaningful work, discover resources to help you build a long-term career and develop your skillset with the guidance of a hand-picked line manager and a dedicated talent coach.

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. Put 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.

1-2 year targeted, fast-track programme focused on developing specialist technical expertise

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:

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 intense 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.

What we're looking for

To be considered for this programme,you must be motivated and curious andhave 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 at Glasgow

Our brand new state-of-the-art campus in Glasgow is somewhere you'll want to work. It's the home of a team of 5,500 colleagues who thrive in an environment that's designed with collaboration and the future of work in mind. The campus is made up of creative spaces and technology with hybrid working opportunities at the heart. The campus is inclusive to all, with a specific focus on neurodiversity through our partnership with Scottish Autism.

As well as offering the perfect space for collaborative working, there's also plenty to get involved in outside of your day job. From live music in the canteen, a rooftop bar that overlooks the Clyde for meeting up with colleagues after hours and even an on-site beekeeping club.

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 participate in 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 building an understanding of the various models, products and technologies associated with the full scope businesses QA services sector.

Accountabilities

• Application of the latest quantitative techniques to solve business problems, including research, development, and implementation of new models and solutions.
• Collaboration with cross-functional teams to support business initiatives. Collaborate with cross-functional teams and senior management to progress business initiatives.
• Participation in training and development programs to enhance skills and knowledge, conducting 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 and support of the quantitative research framework using C++, Python, and other in-house domain specific languages.
• Participation in training to enhance analytical skill, programming knowledge, and understanding of mathematical concepts.
• Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products.
• Training and mentoring of junior colleagues, facilitation of individual or group training sessions, and development and maintenance of training materials.

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 organisation’s 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.

About Barclays

Step into Barclays, a place where individuality is celebrated and innovation meets impact. We’re not just about numbers; we’re about you – your passions, ideas and curiosity.

Did we mention we’re top 10 material? The Times knows we’re the real deal of graduate employers. No fancy degrees required – just bring your energy, creativity and a can-do spirit. Our tech game is strong, so if coding’s your jam, you’re in for a treat. And hey, it’s not just about the tech – we’re all building the future of banking for everyone.

On a Barclays graduate programme, internship or apprenticeship, you’ll learn and grow every day, surrounded by people who love to think differently. Whether you’re based at our cutting edge campus in Glasgow or our thriving hub of activity in Barclays Manchester, our Radbroke campus or in the heart of London – you’ll join a community of collaboration and support from day one.

We’re the big shots with a heart, making waves that matter. Whether you’re

How to apply

To apply for this role and to find out more, please click on the apply button.

Please note that applications may close before the application deadline, so apply early to avoid disappointment.