Internship: Quantitative Researcher



London, UK
Posted on Tuesday, October 31, 2023

We are looking for bright and enthusiastic interns (Master/PhD graduates) to join the team to learn and develop skills used in quantitative research and algorithmic trading.

You will be supporting our quantitative researchers in the following areas:

  • Researching vast amounts of market data to identify patterns and express your own fully algorithmic trading strategies
  • Creating and implementing strategies into production which means direct feedback on your work
  • Efficiently processing, storing, and retrieving huge amounts of market data to identify trading opportunities
  • Generating novel ways of analysing and interpreting our proprietary data
  • Improving the quality of our simulations and accuracy of forecasts
  • Shaping our trading footprint by identifying new markets to trade on

Qualities that make you an ideal candidate may include:

  • Complex problem solving, focusing on results rather than process
  • Unconventional thinking, creativity and persistence
  • Good mix of engineering and data science skills in the domain of time series analysis
  • Ability to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation and testing
  • PhD, MSc from top tier universities in relevant STEM subjects (mathematics, physics, computer science)

This is a front office trading role and as such permanent remote work is not an option

  • Competitive base salary
  • Discretionary bonus scheme
  • Private health insurance
  • Auto enrolment in defined contribution pension scheme
  • Free Friday lunches, drinks and snacks
  • Conference budget
  • Central London office

Some benefits may only be available for internships over 3 months.

You must be authorised to work in the UK.

If the above job description excites you please submit your CV together with a cover letter that clearly outlines the reason why you apply and what makes you a great fit for the role.