Quantitative Analyst
Translated automatically from the original posting. Read the original in Georgian →
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. Our technology drives smarter trading and deeper engagement, empowering bookmakers to grow, innovate, and stay ahead of the game. We are seeking a Quantitative Analyst.
What You’ll Do - Develop and refine quantitative models for pricing, odds compilation, and risk management. - Analyze large datasets to identify patterns, inefficiencies, and actionable insights for trading strategies. - Collaborate with engineers to deploy models into production within our AI-native trading infrastructure. - Monitor model performance, conduct back-testing, and implement continuous improvements. - Work closely with Data scientists and Data engineers to align models with business needs.
Requirements - Open to working as an independent contractor through Deel, fully remote, based in Europe. - Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related field. - 3+ years experience as a Quantitative Analyst or Engineer working on sports-related statistics (Odds change, Margin optimization). - Strong experience in Python for modeling and data analysis. - Knowledge of sports betting markets, trading systems. - Ability to work with large, complex datasets and extract meaningful insights. - Excellent analytical and problem-solving skills with strong communication abilities.
Advantage: - Familiarity with machine learning techniques and statistical modeling. - Working with AI-based IDEs such as Cursor, Claude code or Codex. - Life at LSports - We’re honest with each other and open to new ideas. We challenge ourselves to excel, knowing that good relationships never come at the expense of professionalism. We’re dynamic, always growing and improving to stay on top.
Come join a team that’s all about winning together, with integrity and heart.
Interested candidates, please click the "Apply (On another website)" button.
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