Quantitative Analytics

What to expect

Our Quantitative Analysts are an integral part of the bank, providing model development, analytics and expert advice across various business areas at Barclays. 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.

This is your opportunity to gain invaluable exposure to real world problems by working on innovative quantitative and technology solutions. You’ll develop specialist expertise by helping deliver solutions that improve the way we, develop, deploy, and implement models.

How you’ll develop

We’ll surround you with challenging projects and opportunities to grow and learn. We’ll help you connect with mentors, and network with colleagues and senior leaders alike. Solid performance during your internship will provide you with the skills and expertise to kick-start your career. We invite top-performing interns to join us as full-time associates following the internship.

Who thrives here

Logical problem-solvers do well here. You’ll either have completed or be in your final year of an undergraduate or postgraduate qualification, or equivalent, in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects, with strong programming skills, particularly C++ or Python. Effective communication and collaboration skills are key.

What to expect

Our quants are 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. The ability to articulate your ideas will be crucial as you work closely with business partners to develop models and tools. Joining a group that partners with traders and stakeholders across the bank, you’ll gain the widest exposure to a variety of modelling techniques and instruments to help drive business strategy.

How you’ll develop

Following initial training, you’ll join our specialist team, helping deliver intricate solutions across a wide range of projects. Here, you’ll take on new challenges and learn how to put complex models and quantitative techniques into practice. We’ll surround you with challenging projects and opportunities to grow and learn. We’ll help you connect with mentors, and network with colleagues and senior leaders alike. Solid performance during your internship will provide you with the skills and expertise to kick-start your career and we invite top-performing interns to join us as full-time associates following the internship.

Who thrives here

Logical problem-solvers do well here. You’ll either have completed or be in your final year of an undergraduate or postgraduate qualification, or equivalent, in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects, with strong programming skills, particularly C++, or Python. You’ll be great at communicating and collaborating as well as driven to achieve and search for the best solution.