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LSports

Quantitative Analyst

LSports

. Develop and refine quantitative models for pricing, odds compilation, and risk management .

Posted 10/18/2026full-timeRemote • GeorgiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing quantitative models for pricing and risk management within sports betting markets, leveraging strong analytical skills and proficiency in Python for data analysis. Collaborates effectively with cross-functional teams to deploy models and enhance trading strategies using AI-native technologies.

Highest-signal resume keywords
Quantitative ModelingPython ProgrammingSports Betting KnowledgeData AnalysisMachine Learning Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantitative AnalysisStatistical ModelingOdds CompilationRisk ManagementData Extraction
Soft Skills
Analytical SkillsProblem-SolvingCommunication Abilities
Tools & Technologies
AI-Based IDEsCursorClaude CodeCodex
Industry Keywords
Sports StatisticsTrading StrategiesMargin OptimizationLarge DatasetsBack-Testing

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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