LSports

Quantitative analyst in sports data

In short

Remote quantitative analyst role at LSports, a sports data provider, building and refining pricing, odds compilation, and risk management models for trading. The work involves analyzing large datasets, deploying models into an AI-native trading infrastructure, and collaborating with data scientists and engineers. Requires 3+ years of experience as a Quantitative Analyst/Engineer in sports statistics, strong Python skills, and knowledge of sports betting markets; engagement is as an independent contractor through Deel, based in Europe.

About LSports
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.
Responsibilities
•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.
Nice to have
•Familiarity with machine learning techniques and statistical modeling.
•Working with AI based IDEs such as Cursor, Claude code or Codex.
What we offer
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.

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