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python quant dev cash equities algo backtesting trading market making
Scope AT Limited
Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making
Scope AT Limited
Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making Responsibilities Research and analyse trading outcomes to assess effectiveness of execution strategies Build and refine quantitative models to improve algorithmic trading performance Implement elements of trading logic in Python and work closely with engineering teams Partner with clients to explain model behaviour, review performance and gather feedback Support clients in an execution consulting capacity to optimise use of trading products Key Skills & Experience Strong quantitative mindset with passion for data and research Strong Python development skills (Java exposure beneficial but not core) Experience with electronic trading strategies and market microstructure Knowledge of European equities markets Exposure to distributed systems and large-scale data analysis desirable Excellent communication skills; able to work with global teams and clients High-frequency trading experience advantageous Permanent role - Central London based - hybrid working By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
30/03/2026
Full time
Python Quant Dev - Cash Equities/Algo/Backtesting/Trading/Market Making Responsibilities Research and analyse trading outcomes to assess effectiveness of execution strategies Build and refine quantitative models to improve algorithmic trading performance Implement elements of trading logic in Python and work closely with engineering teams Partner with clients to explain model behaviour, review performance and gather feedback Support clients in an execution consulting capacity to optimise use of trading products Key Skills & Experience Strong quantitative mindset with passion for data and research Strong Python development skills (Java exposure beneficial but not core) Experience with electronic trading strategies and market microstructure Knowledge of European equities markets Exposure to distributed systems and large-scale data analysis desirable Excellent communication skills; able to work with global teams and clients High-frequency trading experience advantageous Permanent role - Central London based - hybrid working By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

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