数学家
Mathematician
我们正在寻找一位经验丰富的数学家，以支持我们在体育博彩平台上的数学模型和算法解决方案的开发与优化。
理想的候选人应具备数学、概率、统计和算法建模方面的专业知识，并深入理解体育博彩机制和投注市场。顾问将与产品、交易和开发团队紧密合作，提升赔率模型，提高自动化能力，并为先进数据驱动解决方案的开发做出贡献。
主要职责
· 设计、审查并优化用于体育博彩交易、赔率生成和风险管理的数学模型。
· 支持算法定价和自动化交易解决方案的开发与改进。
· 分析投注数据、市场行为和性能指标，以提高模型的准确性与效率。
· 与产品、交易、数据科学和工程团队协作，实现可扩展的算法解决方案。
· 提供关于概率模型、利润率优化和风险暴露管理的专业见解。
· 为体育博彩市场自动化和定价效率的数据驱动策略开发做出贡献。
· 评估现有算法，识别优化和性能提升的机会。
· 支持新分析方法的集成，包括在相关领域中的高级统计方法和机器学习技术。
· 对体育博彩建模和算法交易领域的行业最佳实践和新兴技术进行研究。
· 提供关于体育博彩运营中使用的数学框架的技术指导和建议。
要求
· 数学、统计学、数据科学、计算机科学或相关定量领域的强学术背景。
· 在数学建模、统计分析或算法开发方面有实际经验。
· 在体育博彩、投注技术、交易系统或量化建模环境中有经验者优先。
· 深入理解概率论、统计建模和数据分析。
· 有处理大数据集和性能指标的经验。
· 熟悉算法系统、预测模型或自动化决策框架。
· 强大的分析和解决问题的能力。
· 能够与技术和产品团队紧密合作，将数学概念转化为实际解决方案
查看英文原文
We are seeking an experienced Mathematician to support the development and optimization of mathematical models and algorithmic solutions within our sportsbook platform.
The ideal candidate will bring strong expertise in mathematics, probability, statistics, and algorithmic modeling, combined with a deep understanding of sportsbook mechanics and betting markets. The consultant will work closely with product, trading, and development teams to enhance odds models, improve automation capabilities, and contribute to the development of advanced data-driven solutions.
Key Responsibilities
· 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.
Requirements
· 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.
Originally posted on Himalayas