- Develop and deploy innovative ML & statistical models which will impact core investment decisions.
- Communicate ideas and findings to Investment team stakeholders.
- Use ML to explore financial Data and conduct wider research into market impact.
- Several years working in a commercial setting as a Data Scientist.
- MSc / PhD in a highly statistical subject area.
- Production level Python coding skills.
- End to End Data Science experience is preferable, ideally including algorithmic deployment on the Azure cloud stack (serverless).
- Strong communication skills
- Time Series knowledge is a big advantage
- Previous Private Equity, Investment, or Financial Modelling experience is a bonus.
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Data Scientist - London Area, United Kingdom - Xcede
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Description
Data Scientist
(Visit the London office x4 days a week)
Xcede are delighted to be working with one of the most forward thinking Private Equity firms in the space. The organisation are increasingly relying on ML and automation to make key business decisions about investment direction (multi-million pound decisions), and after successful rounds have increased their overall portion of portfolio under the control of the ML function.
The organic growth in workload has meant that the company need to hire another Data Scientist to join their established Data Science function. We don't need someone to have already worked within the Private Equity space, but a clear interest in Investing and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary.
Responsibilities
Requirements
If this role interests you and you would like to find out more, please apply here or contact us via (feel free to include a CV for review).