Man AHL, Man Group’s diversified quantitative investment manager, has opened applications for its 2018 hackathon in April, consisting of 24 hours of coding aimed at contributing to the Python data science ecosystem.
Users of the Python programming language benefit from the efforts of thousands of developers across the world, including Man AHL developers who have open-sourced projects such as Arctic and Pybloqs. The hackathon has been designed to contribute to this ecosystem, with participants exploring and improving the platform, and giving back to the open-source community. During the hackathon, Man AHL will support and mentor participants as they make their own contributions, by creating pull requests, fixing bugs, writing documentation and implementing new features, as part of a team on a well-known project or using their own open-source code.
The Man AHL Hackathon, taking place over the weekend of 21-22 April 2018, is open to anyone who uses Python and who has an interest in the data science ecosystem, including professionals, students and academics. Applicants will ideally have experience with open source tools and libraries, and will have been involved in or run their own open source projects.
Antoine Forterre (pictured), Co-CEO of Man AHL, says: "Technology is at the heart of our business at Man AHL; to operate state-of-the-art quantitative trading strategies requires state-of-the-art technology at all stages. Through our hackathon, we hope to engage with the communities focused on open source projects, and work together to contribute to the technology ecosystem.”
Gary Collier, CTO of Man AHL, says: "At Man AHL, we are keen open-source contributors – after all, we use Python for almost everything, from building models, to supporting trading systems and creating visualisation tools. The aim of our hackathon is to bring together developers and improve the Python ecosystem in a collaborative and enjoyable way. I would encourage anyone who is excited about clean code, cutting-edge tech and open source software to join us!"
Man AHL is a pioneer of systematic trading, bringing a scientific, empirical mind-set to investing. The firm is committed to promoting a flourishing Python system and growing the community around open source projects. The firm sponsors the monthly PyData and Machine Learning meet-ups in London, and its developers have contributed to a significant number of open-source projects over the years – including PyDev, NumPy, Pandas, MDF, MockExtra and Arctic.
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