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Quant Trader

Non-disclosed London, United Kingdom
Posted 2 days ago In-Office Permanent £73 750+
A new proprietary HFT company has been established to deliver and trade new alpha models in a high volatility and inflationary environment. You will be part of a team of experienced quants, traders and engineers within an ultra-low latency C++ environment. A Quantitative Trader who has at least 3 years of front-office experience dealing with microstructure model enhancements, day-to-day trading performance and risk management. The initial models are ready to go on US markets so a willingness to work US hours in London will be required.



A Ph.D. in Computer Science, Econometrics, Electronic Engineering, Mathematics, Physics or Statistics. You will have a track record of published research work in respected journals. Applications from candidates who have completed a post-doctoral research position are particularly welcome.


Relevant Experience

Successful candidates will have substantial academic or trading experience in at least one of the following areas:

  • Applied Mathematics such as Cryptography, Fluid Mechanics, and Optimisation.
  • Linear and non-linear time series and spectral analysis (ARIMA, TAR, VAR, SSA etc..)
  • Machine learning techniques such as DNN's, LSTM, LASSO, Random Forest, and XGBoost.
  • Multivariate methods such as PCA and ICA, Factor Analysis, and Cluster Analysis. 


Essential Skills:

  • Experienced in C++ on very large data sets.
  • Self-motivated with high curiosity.
  • Ability to work independently and with a team. 



  • Work alongside similar people in an innovative research-driven environment.
  • Ability to use new research techniques on ever-growing data sets.
  • Highly competitive annual bonus payments to successful candidates who demonstrate positive innovation in models and processes. 


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