Sports Quant
3 weeks ago
Sports Quant - Basketball
Based London
Competitive salary
Required: Basketball modelling experience
Required: Python experience
I'm currently working with a leading Sports Research and Technology company, on a search for a Sports Quant with experience in basketball modelling to join their team. The successful candidate will work extensively on probabilistic models, specifically looking at basketball.
The successful candidate will have:
- Experience in basketball modelling
- Experience using Python
- Experience using R/other statistical software is desirable
- Degree (2:1 or higher) in STEM subject
You will get:
- Competitive base salary + bonus
- Other benefits, including private healthcare
- Work in a collaborative environment
- Work and learn from the best in the field
Please contact emily.shields@harringtonstarr.com for further details
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City of London, Greater London, United Kingdom Harrington Starr Full timeSports Quant - Basketball To be considered for an interview, please make sure your application is full in line with the job specs as found below. Based London Competitive salary Required: Basketball modelling experience Required: Python experience I'm currently working with a leading Sports Research and Technology company, on a search for a Sports...
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City of London, Greater London, United Kingdom Harrington Starr Full timeSports Quant - Basketball To be considered for an interview, please make sure your application is full in line with the job specs as found below. Based London Competitive salary Required: Basketball modelling experience Required: Python experience I'm currently working with a leading Sports Research and Technology company, on a search for a Sports...
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City of London, Greater London, United Kingdom Harrington Starr Full timeSports Quant - Basketball Competitive salary Basketball modelling experience Required: Python experience I'm currently working with a leading Sports Research and Technology company, on a search for a Sports Quant with experience in basketball modelling to join their team. The successful candidate will work extensively on probabilistic models,...
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