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# Quant Developer - Python, Signal implementation

- **Company:** Quant Capital
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Python (Programming Language)
- **Published:** August 18, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2931781921-2

## About the Role

optimisationScaling up to maximise PnL whilst staying within agreed risk tolerancesQuantitative researchImplementation of initial strategy and confirmation of opportunity via back testResearch into applicability of strategy into other marketsEnsuring that appropriate reporting and metrics providedImprovements to existing tools and frameworks used by the MFT teamQuant Developers should have:· Experience in a Bank, Fund or Prop Shop in a successful trading team· 3 Years Automated Trading Experience· Strong Python (Although this more Strategy implementation)· Academic background to matchThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies and traders, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.The role is City based. Flex Working

## Description

Signal Implementation Quant Developer Python170,000 Plus BonusQuant Capital is urgently looking for a Medium Frequency Quant Developer to join our high profile clients TeamOur client is a well known global Prop Trading firm. They value technology especially the opensource variety as well as scalability and robust performance (much like their track record).This is a bleeding edge role as close as it gets to the market. They have invested heavily in infrastructure and are looking to take this to market. As a smaller shop they are able to offer a considerably better share than a larger firm.You will be responsible for the research and implementation of fully automated quantitative trading strategies using data driven methods. The assets could be derivatives or currencies and holding period of the strategies could be intra-day, days or weeks. Most of the strategies are Futures based.Quantitative trading signal ImplementationContinuous production and backtest reconciliation and


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