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Execution Quantitative Researcher

G-Research
London
1 month ago
Applications closed

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Do you want to tackle some of the biggest questions in finance with near-infinite computing power at your fingertips?

G-Research is a leading quantitative research and technology firm with offices in London and Dallas. We are proud to employ some of the best minds in the field and to nurture their talent in a dynamic, flexible, and highly stimulating culture where world-class ideas are cultivated and rewarded.

This role is based in our new Soho Place office - in the heart of Central London and home to our Research Lab.

The Role

Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.

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. In this team, our researchers focus on optimising execution efficiency, analysing market microstructure, and minimising transaction costs.

This requires leveraging large-scale datasets, real-time market data, and advanced analytics to refine and optimise algorithmic execution strategies.

Who are we looking for?

The ideal candidate will have:

  • Strong coding skills, ideally Python/C#, but other languages are welcome.
  • An interest in implementing theoretical insights as working code.
  • Understanding of microstructure, for example smart order routing, liquidity dynamics across multiple venues, low latency execution strategy.
  • Understanding of US markets is advantageous.
  • A Masters or PhD degree in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering.
  • A strong interest in finance and the motivation to rapidly learn more is a prerequisite for working here.

Why should you apply?

  • 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
  • Monthly company events

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology, Engineering, and Finance
  • IndustriesFinancial Services and Capital Markets

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