As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading.
Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.
o We host and sponsor London’s PyData and Machine Learning Meetups
o We open-source some of our technology. See https://github.com/manahl
o We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech
Essential Skills
o Exceptional technology skills; recognised by your peers as an expert in your domain
o A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
o Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++
o Proficient on Linux platforms with knowledge of various scripting languages o Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB
o Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React
o Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.
If you're interested, please get in touch with Milly Parrott mparrott@ahl.com