Quantitative Analytics Graduate 2025 - Prague

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 meet the needs of stakeholders/ customers through operational excellence and customer service
• Perform prescribed activities in a timely manner and to a high standard
• No people leadership roles at this grade.
• Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of team members.
• Identify escalation of policy breaches as required.
• Take responsibility for customer service and operational execution tasks.
• 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.
• Gain and maintain an understanding of own role, how the team integrates to achieve overall objectives, alongside knowledge of the work of other teams within the function.
• Work within well-defined procedures that may involve a variety of work routines.
• Demonstrate an understanding of the procedures.
• Evaluate and select the appropriate alternatives from defined options.
• Make judgements based on the analysis of factual information.
• Build relationships with stakeholders and customers to identify and address their needs, in support of a smooth operating process, handling sensitive issues as required.

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.

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.