
1001 - 5000 employees
Founded 1999
🎮 Gaming
🤝 B2B
☁️ SaaS
Gaming • B2B • SaaS
Digitain is a global leader in sports betting and iGaming platform technology founded in 1999. The company provides a comprehensive suite of B2B products and services — including a proprietary sportsbook, casino and live dealer systems, esports and virtual sports, payment gateway, odds and data feeds, CRM, affiliate and retail/SSBT solutions — delivered across online, mobile and retail channels. Digitain offers turnkey and modular API integrations, enterprise tools for risk, fraud, licensing and hosting, and supports partners worldwide with large-scale operations and regulatory certifications.
🕒 September 18
Where this job comes from
Posted on Digitain's careers page, not through a job board
First seen by Remote Rocketship September 18
Still open on Digitain's site. Checked 53 minutes ago.

1001 - 5000 employees
Founded 1999
🎮 Gaming
🤝 B2B
☁️ SaaS
Gaming • B2B • SaaS
Digitain is a global leader in sports betting and iGaming platform technology founded in 1999. The company provides a comprehensive suite of B2B products and services — including a proprietary sportsbook, casino and live dealer systems, esports and virtual sports, payment gateway, odds and data feeds, CRM, affiliate and retail/SSBT solutions — delivered across online, mobile and retail channels. Digitain offers turnkey and modular API integrations, enterprise tools for risk, fraud, licensing and hosting, and supports partners worldwide with large-scale operations and regulatory certifications.
• 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 data-driven strategies for sportsbook market automation and pricing efficiency • Evaluate existing algorithms and identify opportunities for optimization and performance improvement • Support integration of 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
• 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
• Remote work arrangement
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