Wishlist

Graduate opportunity

Quantitative Analytics Full-time Associate

Quantitative Analytics Full-time Associate

Application Information

Highlights

  • Take on fascinatingly complex challenges as part of an industry leading team
  • Be part of some of our most exciting technological advancements
  • Develop your technical skills, and then see the impact you can make

Experience how technical expertise gets turned into world-class business solutions. Joining a team that partners with traders and risk managers across the Investment Bank, you’ll help find innovative ways to support many facets of our work.

Apply Now

Locations

  • London
    Application Deadline
    31/10/2017

What to expect

Expect exposure to real world problems in a fast paced and invigorating environment. We’ll provide you with seven weeks of intensive training, to give the core skills and product knowledge you’ll need to make a strong start. Then you’ll go straight onto a specific desk, working with various colleagues to deliver solutions for derivatives pricing, risk management, changes in markets structure, capital utilization and strategic technological advancements. Your work will be highly technical, and could see you tackling challenges such as:

  • Putting complex models and quantitative techniques into practice
  • Researching, creating and implementing new models
  • Expanding our computational platform.

How you'll develop

We will provide you with a visible path to promotion to vice president, and the tools to help you get there. From day one, you’ll build the skills and experience you need for a successful career. Our training will give you the knowledge you need when you need it, and detailed performance coaching will keep your progress on track. You will also find plenty of opportunities to expand your network and develop your leadership skills.

Click here to find out more about our Graduate development journey.

Who thrives here

Logical thinking problem-solvers do well here. We also look for mathematical and programming skills - particularly C++, Python or R - along with a background in a discipline such as physics, mathematics, quantitative finance, statistics or computer science.

Cropped