google analytics alternative Machine Learning Research Engineer (45-65K) job vacancy in London, London – Accounting/Financial/Insurance jobs & vacancies on Field Recruitment
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Machine Learning Research Engineer (45-65K)

Date Posted: 31-Jan-2018
Closing Date: 30-Jun-2018
Location: London, London
Salary: Minimum - £45,000.00, Maximum - £65,000.00 per Annum
Bettor Believe is a specialist consultancy for the sports betting, proprietary trading and FinTech sectors. With our global network spanning every continent, and our specialist sector knowledge, we are well placed to offer career advice and bring you the very latest opportunities available in the market.
Our client is a leading quantitative research house, focussed on applying fintech technology and academic advancements within Machine Learning to predictive analytics of sports and associated betting markets.

You would work as part of the research team applying data science to sport events, using statistical and machine learning techniques to develop quantitative predictive models and extract useful information. The team can then design and develop algorithmic trading strategies that make use of the edge provided by the quantitative models or exploit other favourable conditions in the markets.

The world class team of machine learning experts, developers, quantitative researchers and data scientists is a collaborative one ideas are shared, as is the passion for solving difficult problems. They work hard to encourage an environment centred around continuous learning. You can take ownership of prototyping new algorithms for machine learning training and inference and play a key part in highly innovative, greenfield research projects.

In order to be successful in this role you must be extremely technical and be from highly quantitative/statistical academic background. You will have:

PhD or MSc in statistics, machine learning, AI, computer science, mathematics, engineering or a related field
Good knowledge of machine learning fundamentals
Solid statistical grounding: regression, GLM, bayes, hypothesis testing
Excellent programming/coding abilities in Python or C++


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