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Senior Quantitative Analyst — Competitive Gaming I'm working with an exciting client in the competitive gaming and esports space who are looking for a Senior Quantitative Analyst to join their trading team. The Role Reporting into the Head of Sports Trading, you will be responsible for the development and maintenance of sophisticated sports betting pricing models and algorithms for esports content. You will work closely with the technology and development team, product stakeholders and the data analytics function, providing crucial analytical support to the trading team.
Job Responsibility:
Develop and continuously update sports betting pricing models and algorithms to ensure accuracy and generate high margin betting opportunities
Leverage machine learning techniques to improve the accuracy and efficiency of pricing models
Continuously evolve models through the use of new data points including rich in-play game data, customer profitability data and live betting liability data
Provide analytical support to the trading function, helping to optimise strategies and improve overall performance
Collaborate closely with the data analytics team to understand available data and provide clear direction on requirements
Own the full development lifecycle of models across all environments, from Dev to Prod
Document all models, processes and algorithms clearly for use across the team
Support the development of direct reports and contribute to building team capability
Requirements:
Degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics or Engineering
5+ years of experience as a Quantitative Analyst within the sports betting industry
Proficiency in Python, R, Java and/or C#
Experience with machine learning techniques and algorithms
Strong communication skills with the ability to explain complex concepts to non-technical stakeholders
Excellent problem-solving skills and attention to detail
Nice to have:
Experience modelling American Football, Basketball, Soccer or Baseball
Familiarity with agile development processes
Experience with big data technologies and cloud computing platforms