Senior Quantitative Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the design, development, and calibration of pre-match and in-play pricing models, BetBuilder models, and Cashout for designated sports verticals.

• Generate complete market trees from fundamental model outputs, including match odds, handicaps, totals, correlated derivatives, player props, and same-game multiples.

• Model live scenarios that encompass score, time decay, red cards, momentum, injuries, substitutions, service games, and possession-based simulations.

• Extract fair probabilities from competitor and exchange prices, blending market-implied signals with in-house model outputs.

• Establish and uphold liability limits, exposure thresholds, and automated risk-mitigation protocols.

• Conduct Monte Carlo simulations of book outcomes to measure tail risk.

• Provide support to the trading floor during high-liability events through real-time analysis and price recommendations.

• Define the quantitative roadmap for assigned verticals in collaboration with Trading and Product leadership.

• Collaborate with Engineering to implement models into low-latency pricing services and define monitoring and alerting requirements.

• Set the direction for modeling, establish model quality metrics, serve as a technical authority, and mentor mid-level and junior quantitative analysts.

⛳️ Requirements

• Over 5 years of experience in quantitative analysis, including at least 3 years in sports betting, betting exchanges, or sports trading/analytics.

• Proficient in probabilistic and statistical modeling techniques at an expert level.

• Advanced skills in Python for modeling and production code development.

• Strong background in sports-specific model design, including rating systems, simulations, and in-play models.

• Experience with both pre-match and in-play pricing strategies.

• Comprehensive understanding of bookmaking economics, margin strategies, risk, liability, and exposure management.

• Advanced SQL skills and experience managing large-scale datasets.

• Proven experience in developing, validating, and deploying models into production with measurable commercial impact.

• Knowledge of machine learning and an understanding of low-latency/streaming systems.

• Proficiency in English at a B2+ level.

🏝️ Benefits

• Benefits Cafeteria — an annual budget that you can allocate for Sports, Medical, Mental health, Home office, and Language courses.

• Paid maternity/paternity leave along with a monthly childcare allowance.

• More than 20 vacation days, unlimited sick leave, and emergency time off.

• Remote-first work environment with tech support and coworking compensation.

• Team events, both online and offline, including offsite gatherings.

• A culture of learning with access to internal courses and growth programs.