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Quantitative Analyst – Sports Betting

Data AnalystData AnalystFull TimeRemoteTeam 11-50H1B No SponsorCompany Site LinkedIn

Location

Florida

Posted

63 days ago

Salary

Not specified

Bachelor Degree2 yrs expEnglishPython

Job Description

• Develop and maintain sports simulation models to accurately price a wide range of sports betting markets • Contribute to the creation and improvement of algorithms for odds compilation and risk management across various sports and bet types • Work with data engineering teams to ensure efficient processing and utilization of sports datasets • Assist in implementing and improving models for live betting, taking into account real-time data and market movements • Conduct analysis of historical datasets to inform pricing strategies and identify potential risks • Collaborate with trading teams to provide quantitative insights and support for decision-making • Stay informed about the latest developments in sports and betting technologies, proposing new methodologies as appropriate

Job Requirements

Solid experience in developing and implementing sports models for pricing and risk assessment in sports betting
Strong expertise in statistical analysis, machine learning and predictive modeling techniques applied to sports analytics
Proficiency in programming languages such as C++ or Python for model development and data analysis
Strong understanding of probability theory, stochastic processes, and their applications in sports betting
Experience with big data technologies for processing large volumes of data
Strong problem-solving skills and attention to detail in analyzing sports statistics and trends
Good communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical stakeholders
Degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field (Ph.D. is a plus)
Strong knowledge of US Sports, including team statistics, player performance metrics, and league-specific betting trends
2-3 years of experience in quantitative analysis, with a focus on sports statistics and sports betting
Proven track record of contributing to the development and implementation of sports simulation models for pricing and risk management
Experience with odds compilation and pricing strategies across various sports and bet types
Strong programming skills and experience with version control systems (e.g. Git)
Solid understanding of the sports betting market, including different bet types, market dynamics
Preferred: Experience working with a sportsbook or Quantitative sports company
Familiarity with regulatory requirements and compliance in the sports betting industry
Contributions to sports modeling projects or publications
Experience with real-time decision-making systems for live betting scenarios

Benefits

Competitive pay and benefits
Flexible vacation allowance
Flexible work from home or office hours
Startup culture backed by a secure, global brand
Opportunity to build products enjoyed by millions as part of a passionate team

Related Categories

Data Analyst

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