Quantitative Analyst
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Job Description
Quantitative Analyst developing pricing, odds, and risk models for LSports, a global sports data provider. Analyzing sports data and deploying models into AI-native trading infrastructure.
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 the 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 Quantitive 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 and trading systems
- Ability to work with large, complex datasets and extract meaningful insights
- Excellent analytical and problem-solving skills with strong communication abilities
- Familiarity with machine learning techniques and statistical modeling
- Experience working with AI based IDEs such as Cursor, Claude code or Codex
Benefits:
- Open to working as an independent contractor through Deel
- Fully remote work arrangement
- Dynamic, collaborative work environment
- Opportunities to work with AI-native trading infrastructure
- Continuous model improvement and professional collaboration
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