Job Description

The team that delivers world-class solutions

Our 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. The ability to articulate your ideas will be crucial as you work closely with business partners to develop models and tools, and perform analyses to help guide business decisions, manage risk, formulate and test quantitative strategies, and drive revenue generation and capital utilisation.

The chance to make an impact

As a Quantitative Analytics Associate, you'll gain valuable exposure to real world problems in our dynamic and invigorating environment. 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.

In this intensely mathematical or computer science role, you will:

• use a variety of models and quantitative techniques in practice
• research and implement new models
• expand our computational platform

A place where you can thrive

At Barclays, you'll be surrounded by people who will help you achieve your ambitions. Our collaborative, supportive environment gives you the chance to build solid relationships with senior leaders, peers and clients alike. What's more, dedicated programme managers will support and advocate for you throughout the first year of your career at Barclays.

During the program, you'll also:

• participate in formal and informal training designed to give you the knowledge you need when you need it
• receive detailed performance coaching and feedback
• have opportunities to expand your network and develop leadership skills

Your role as a Quantitative Analytics Associate will provide you with the skills and experience needed for a successful career in the world of finance. The programme will help provide a visible path to the necessary steps for promotion and the tools to get you there.

To be considered for this program, you must:

• be in your final year or have successfully completed a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Statistics, Stochastic Calculus, Computer Science or other STEM subjects
• Graduating in 2023

Ideally, you would also have:

• strong mathematical and programming skills (ideally in Java, C++, or Python)
• strong logical thinking and problem solving abilities
• communication skills and a team-oriented attitude
• fluent written and spoken English