Barclays makes markets in nearly all major asset classes, providing sophisticated, timely solutions to our clients. If you like work in a fast-paced, dynamic and exciting environment where you help clients make their next move by quickly processing information and anticipating market trends, then a Quantitative position in our Sales and Trading team could be the right place to start your career.
- Application Deadline
What to expect
Expect never to stand still. Initial training will give you the essentials to start, after which you’ll go straight into the first of three three-week rotations where you’ll experience different sales and trading desks across asset classes.
Through your desk assignments, you’ll develop a solid understanding of the global markets, building your communication, quantitative and analytical skills. You may:
- build and back test mathematical models
- monitor markets and help formulate trade ideas
- perform various analyses on market data, fundamental data and technical data
- attend client meetings or calls with traders, salespeople and research colleagues.
How you’ll develop
Throughout the summer, our support will help you deliver your best work. In our team-driven environment, you’ll find that mentoring happens naturally and friendships are easy to form. Senior and junior mentors will guide your progress, and networking and social events will provide a fully rounded experience.
Halfway through, you’ll get constructive feedback on your performance. By the time the summer’s over, you’ll walk away with a solid understanding of our business, our culture and your potential place within it. If you perform very well and meet our hiring criteria, you could have a full-time role waiting for you after graduation.
Who thrives here
The right candidate will have a background in one or more of the following:
- Physics, mathematics, finance or engineering, with relevant coursework in statistics, linear algebra, and stochastic calculus
- Machine learning
- Strength in at least one programming language (e.g. Python, C++, JAVA, etc.)
- Experience with statistical software (e.g. R, Matlab, etc.)