Quantitative Analytics Part Time Developer Programme 2026 Prague

Explore the world of Barclays as a Part Time Developer

Join us as a part time student developer and discover the world of Barclays. Dive into our culture, engaging in real projects that offer a comprehensive business overview. In your business area, you'll receive an in-depth introduction, taking on immediate responsibility guided by a mentor and line manager. Forge connections, explore new horizons, and unlock growth opportunities. Join us alongside your university studies to build skills, expand knowledge, and embark on an impactful path towards a promising career.

Why the Quantitative Analytics Part Time Developer 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:

Risk Quantitative Analytics (Risk QA)

As an intern in Risk Quantitative Analytics (Risk QA), you will join a group of specialised modellers and developers powering Barclay’s ability to manage financial risk. From day one, you’ll be part of a team that uses statistical methods, AI techniques, and coding strategies to build the tools and models Barclays uses to make big decisions. Along the way, you’ll collaborate with colleagues across risk, finance, global markets, and technology - gaining exposure to how different parts of the business come together to navigate market shifts and meet regulatory demands.

Markets Quantitative Analytics (Markets QA)

As a Markets QA intern, you’ll be developing mathematical models, statistical techniques and computational tools by working with diverse teams spanning trading, technology and risk. Leveraging quantitative finance models and AI/ML techniques, you’ll develop data driven insights that improves decision making and partner with trading desks to automate strategies, manage risks and deliver franchise benefits.

The chance to make an impact

As a Quantitative Analytics part time developer, you'll be immersed in a dynamic and invigorating environment that exposes you to real-world challenges. Throughout your programme, you'll have the unique chance to apply cutting-edge quantitative techniques to solve practical business problems. Your role will involve conducting research, devising and implementing new models and finding innovative technological solutions to enhance our computing and data infrastructure. The experience will give you an inside look into the daily responsibilities of a quant, as you continue to meeting the advanced modelling needs of a top-tier multinational banking operations. Collaborating with diverse stakeholders across various bank functions and locations will further enrich your journey.

What we are looking for:

To be considered for this programme, you should be motivated and curious. You will be in your 3rd or 4th year 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 (Science, Technology, Engineering and Mathematics) subjects.

Ideally, you would also have:

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 unique in the Barclays world, in the tech sector, in investment banking, and in the Czech Republic. Here, around 1500 tech professionals take on complex challenges that have an impact on a global scale. It’s an exceptional place to build your career, expand your skills and explore new technology.

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

• 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.