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A leading finance technology firm in the United Kingdom is seeking a Quant Developer to work on implementing innovative trading strategies and conducting thorough analyses of backtesting simulations. The ideal candidate has a degree in a quantitative field, up to 4 years of relevant experience, and proficiency in programming languages such as Python or C++. The role offers collaboration with experts and opportunities for learning in a dynamic environment.
Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.
As a Quant Developer at Squarepoint you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time. You could also develop improvements to our trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary data. Whatever your project, you will drive cross-team initiatives at Squarepoint and will gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards our continued innovation in the quant research space.