Mathematician

Digitain

Contract type

Ongoing

Work mode

100% remote

Experience

3 years

Job description

Design, review, and optimize mathematical models used in sportsbook trading, odds generation, and risk management
Support the development and improvement of algorithmic pricing and automated trading solutions
Analyze betting data, market behavior, and performance metrics to improve model accuracy and efficiency
Collaborate with Product, Trading, Data Science, and Engineering teams to implement scalable algorithmic solutions
Provide expert insights on probability models, margin optimization, and risk exposure management
Contribute to the development of data-driven strategies for sportsbook market automation and pricing efficiency
Evaluate existing algorithms and identify opportunities for optimization and performance improvement
Support the integration of new analytical approaches, including advanced statistical methods and machine learning techniques where relevant
Conduct research on industry best practices and emerging technologies in sportsbook modeling and algorithmic trading
Provide technical guidance and recommendations on mathematical frameworks used in sportsbook operations
Company mission
Information not specified

Strong academic background in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field
Proven experience working with mathematical modeling, statistical analysis, or algorithm development
Experience in sportsbook, betting technology, trading systems, or quantitative modeling environments is a strong advantage
Deep understanding of probability theory, statistical modeling, and data analysis
Experience working with large datasets and performance metrics
Familiarity with algorithmic systems, predictive models, or automated decision-making frameworks
Strong analytical and problem-solving skills
Ability to work closely with technical and product teams to translate mathematical concepts into practical solutions
Excellent communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders
Information not specified
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