Logo of Huzzle

Job

Quantitative Researcher - Postgraduate

Logo of G-Research

G-Research

1mo ago

💼 Graduate Job

London

AI generated summary

  • You must have a strong quantitative background and be pursuing or hold a Masters or PhD in mathematics, statistics, computer science, physics, or engineering. Interest in real-world financial problems and coding is a must. Finance experience not required.
  • You will predict market movement using advanced statistical analysis, ML techniques, and real-world data, pushing the boundaries of quantitative research.

Graduate Job

Research & DevelopmentLondon

Description

  • Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

Requirements

  • An interest in applying mathematical concepts to real-world financial problems
  • An interest in implementing theoretical insights as working code
  • A Masters or PhD degree (or be working towards one) in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering
  • Previous financial experience is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here

Education requirements

Masters
PhD

Area of Responsibilities

Research & Development

Responsibilities

  • Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.
  • This requires them to harness massive compute power and use state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition.
  • This is a pure research role where you will be able to develop and test your ideas with real-world data in an academic environment.

Details

Work type

Full time

Work mode

office

Location

London

Benefits

  • Highly competitive compensation plus annual discretionary bonus
  • Lunch provided (via Just Eat for Business) and dedicated barista bar
  • 35 days’ annual leave
  • 9% company pension contributions
  • Informal dress code and excellent work/life balance
  • Comprehensive healthcare and life assurance
  • Cycle-to-work scheme
  • Monthly company events