Quantitative Researcher

Durlston Partners

London, England

7 months ago

Applications closed

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Junior Quantitative Researcher (HFT / London / hybrid)

Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.

We are looking for a Quantitative Researcher with strong modelling and coding skills (Python). You will be responsible for scaling and bringing our quantitative business to the next level. You will have the opportunity to cover all technologies (CeFi, DeFi), trading platforms and products (spot, derivatives, ETPs, etc.). You will work with other researchers, traders and developers to build trading strategies and improve existing algorithmic trading activities.

Responsibilities:

Design and implement predictive quantitative trading market making as well as taking models.
Apply statistical techniques to develop short-term signals, with a time horizon from milliseconds to a few minutes.
Lead research efforts to improve signals and optimise parameters through back testing, across a wide range of trading products and technologies.
Proactively identify market microstructure patterns and trading opportunities by analysing vast quantities of tick level historical market data across many markets.
Run simulations and model market for both liquid and illiquid assets.
Improve and maintain supporting infrastructure in Python and C++.

Qualifications:

Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus but not expected or required.

Required Skills:

Advanced Python coding skills.
Experience and advanced knowledge of statistics/probability theory.

If you are interested please apply or email at

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