Quantitative Researcher
2 weeks ago
Do you want to tackle the biggest questions in finance with near infinite compute 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 people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office - opened in 2023 - 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 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.
**Machine Learning College**
ML College is an established, in-house learning programme at G-Research. It’s designed to develop our researchers into fully-fledged machine learning practitioners through a world-class, custom curriculum.
ML College is exclusive to new and existing Quantitative Researchers at G-Research, so if you join us in this role you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively.
Find out more about the G-Research ML College.
**Who are we looking for?**
- An interest in implementing theoretical insights as working code
- Previous financial experience is not required, although an 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
- Cycle-to-work scheme
- Monthly company events
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