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Internship

Quantitative Trading Summer Analyst

Quantitative Trading Summer Analyst

Application Information

Highlights

  • Put your math and programming skills to work on high impact projects
  • Experience three different quantitative trading desks
  • Discover new ways to add value for clients

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.

Locations

  • New York
    Application Deadline
    09/30/2018

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
  • Optimization
  • Strength in at least one programming language (e.g. Python, C++, JAVA, etc.)
  • Experience with statistical software (e.g. R, Matlab, etc.)