Data Scientist / Quant Mathematician – Horse Racing – WFH Globally

TTP Recruitment Pty Ltd
Sydney, NSW
A$200,000-$250,000 p/a + 7 figure bonus potential
Science & Technology → Mathematics, Statistics & Information Sciences
Contract
Remote

Posted 5 days ago


Our client is a leading provider of form and data software solutions for the global racing industry. They are an established and stable organisation who are perfect for those sick of the corporate life.

Working with some of the best mathematics and stats minds in the city in a small and focused team environment, you will work on challenging and rewarding modelling projects for the horse racing betting industry.

To be considered for this role you will have the following:

A strong background in mathematical and statistical modelling

Previous experience working as a Quant Analyst, Data Analyst, Data Scientist or Big Data Analyst – desirable

Experience with data visualisation tools, I.e. tableau

Knowledge of SQL server and BigQuery

Masters or PhD in maths / statistics / machine learning / econometrics essential

Experience using Python is essential, with knowledge of other development languages

Strong algorithmic coding skill and solid knowledge of data structures

Experience with statistical forecasting essential

Understanding of machine / statistical learning techniques such as non-linear regression, kernel regression, support vector machines (SVM), neural networks, classification trees and similar techniques very beneficial.

Experience applying mathematical models to the horse racing / wagering / financial services (fx etc) / actuarial science - highly desriable

This is a great opportunity for someone passionate about maths and stats to have their ideas put into practice.

Applications welcome for candidates based anywhere in Australia or overseas.


About TTP Recruitment Pty Ltd

Sydney, NSW, Australia

This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.

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