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Head of Quant Trading
Job in
London, Greater London, W1B, England, UK
Listed on 2026-09-03
Listing for:
Quant Capital
Full Time
position Listed on 2026-09-03
Job specializations:
-
Finance & Banking
Data Scientist
Job Description & How to Apply Below
The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. I am looking for an experienced and highly-driven expert in quant trading and market making to lead and grow a team of quant researchers and software engineers. On a day-to-day basis your responsibilities will include:
• Lead the implementation of large-scale market-making and cross-asset risk management systems
• Guarantee end-to-end quality of trade execution for our millions of retail customers, even during extreme market events
• Expand with additional asset classes and tradable instruments
• Develop and optimise the firms’ trading model to identify and create relevant risk factors and construct systematic equity portfolios Quant Analysts Must Ideally Have:
• PhD Comp Sci, Maths, Stats or Engineering
• Quant experience of systematic trading (market making/hedging & electronic execution)
• Extensive experience with market-making algorithms and automated trading systems
• Deep understanding of stock market microstructure across global securities exchanges and trading venues
• Experience with high trading volumes
• Experience of delivering multi asset trading strategies (alpha signals, analytics, strategy simulations)
• Experience in machine learning, signal research, back testing & performance optimisation
• Quant modeling
• Trading strategies
• Programming – Python, C++, Java, complex event processing You will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package, flex working. Including Options from day 1.My client is based in the City flex working
Quant Research, Gauss, Hull, Options Theory, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, noSQL, Data Science
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