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Bayesian Statistician - R/Python/C+
Description

Beyesian Statistician - R/Python/C++ sought by quant research firm based near Kings Cross.

The role focuses on statistical analysis and modelling. The candidate sought will have a strong background in Bayesian statistics to help analyse historical information in order to make inferences about future events and improve betting performance.

The successful candidate should not only be able to either improve already existing models and/or come up with new ones, but also define the degree of confidence on these models being correct based on the available data (R/Python, C++ would be a plus). The successful candidate will join a team which develops solutions to efficiently participate in publically available games of chance, mostly built around football.

These betting solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of pre-, intra- and post-betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations.

Technologies used: C++ for time critical code, R/Python/C++/C# for statistics and analysis, MySQL databases for storage, Perl/Python for scripting, C# for API connectivity or GUI generation and more. Education: PhD Educated in the area of Statistics/similar would be preferred but not essential. Flexible salary on offer dependant on experience.

Please apply within for further details or call on

Alex Reeder Harvey Nash Finance & Banking

Job Details
Job Ref: 418985545
Start Date: Mon, 14 May 2018 19:00:00 EST
Hours: Not Specified
Location: London, United Kingdom
Working Term: Permanent
Salary: British Pound . GBP British Pound . GBP - Annual Annual

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