Junior Quantitative Researcher

Challenging traditional methods of portfolio management

  • Location : All London, Central London, North London
  • Salary : £35,000 - £45,000
  • Contract : Full Time
  • Reference Number : 1TdV9x1T
  • Application Closing Date : 10 February 2019
  • Placement : Graduate Job ( permanent )

Company Description

This technology company is developing Machine Learning driven investment models which it uses to trade financial markets systematically.

Backed by a group of shareholders and advisers, some of whom are leading figures in their field, the company is expanding rapidly and is now scaling up its proprietary statistical and machine learning resources.

Job Description

The company aspire to operate as an academic research lab, studying financial markets and human decision patterns, and actively promote a culture of flat hierarchy where team members speak their mind and are pushed to explore any idea that support the growth of our business.

Your Role:

Initially you will be paired with a researcher from the team to learn the basics of systematic trading and of any technology you may need. At the end of the training, you will start to specialise in either trading signals research or quantitative implementation depending on your skill set and preference. (No prior financial experience required as the researchers have background in mathematics and science).

Requirements:

  • Strong quantitative skills with undergraduate degree from mathematics, physics or computer science  (outstanding achiever)
  • Preferably a PhD
  • Strong aptitude to code - no requirement for a particular experience nor programming language as training will be provided
  • Coding: open-source projects (any language), or mastery of at least one programming language or of computer science theory
  • Enjoy working in a research environment
  • Bonus points for experience with Python 
Apply now
  • Location : All London, Central London, North London
  • Salary : £35,000 - £45,000
  • Contract : Full Time
  • Reference Number : 1TdV9x1T
  • Application Closing Date : 10 February 2019
  • Placement : Graduate Job ( permanent )
Apply now