Quantitative Analytics Graduate 2025 - Prague

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/Market 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 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 (Scirent, Technology, Engineering and Mathematics) STEM subjects. 

Ideally, you'll have mathematical and programming skills (ideally in C/C++, or Python) along with a knack for logical thinking and creative problem solving. You'll be a good communicator and team player.

Barclays Europe

We’ve had a presence in Europe almost as long as there’s been a Barclays. So, we’re building on solid foundations, leveraging our embedded talent, in 10 locations across the region allowing us to draw on a wealth of local and regional insight.

Working in Prague

Prague is our technology hub: a globally connected, strategically important centre of technological excellence where a collaborative community of around 1400 talented colleagues bring agile innovations to a wide range of customers.

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.
• Training and mentoring of junior colleagues.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• 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.