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Pentasia · 9 hours ago

Senior Data Scientist- Sportsbook Risk Modeling

United States

Full-time

Remote

Senior Level

Pentasia is looking for a seasoned specialist in Sportsbook Risk Control Modeling to help shape the core intelligence of their risk engine. In this role, you will design and implement advanced user profiling models, automate risk coefficient assignments, and uncover betting patterns that differentiate recreational players from professionals and syndicates.

RecruitingSkill AssessmentStaffing Agency

Senior Management

No H1B

U.S. Citizen Only

Hiring Manager

Austin Barber

Responsibilities

Risk Profiling & Modeling Roadmap - Lead the development and execution of a comprehensive modeling strategy for Sportsbook and iGaming user behavior, ensuring robust risk controls that safeguard margin

User Classification & Persona Engineering - Build sophisticated classification models to segment users into distinct personas (e.g., VIP, Recreational, Bonus Abuser, Professional/Sharp) using granular betting and transactional data

Risk Coefficient Architecture (CCF) - Design and deploy predictive models to assign User Risk Control Coefficients (CCF). Automate tiered risk-control actions based on real-time behavioral and financial indicators

Betting Pattern Analysis - Develop models to detect anomalous behaviors such as arbitrage, syndicate activity, and sharp betting patterns

Production-Ready ML Pipelines - Architect scalable machine learning pipelines for feature engineering, model training, and real-time risk scoring in production environments

Strategy Optimization - Translate model outputs into actionable strategies for limit-setting, pricing adjustments, and marketing restrictions, collaborating closely with Trading and Risk teams

Qualification

Sportsbook Risk ManagementPython/RSQLMachine LearningRisk ModelingBusiness AcumenAnalytical ThinkingCommunication SkillsTeam Collaboration

Required

Domain Expertise - Proven experience in Sportsbook Risk Management or Trading Analysis, with a deep understanding of betting markets and risk impact on profitability

Technical Proficiency - Expert-level skills in Python/R and SQL, with hands-on experience in ML frameworks (XGBoost, LightGBM, or Deep Learning) for classification and anomaly detection

Risk Modeling Experience - Demonstrated success in building user profiling or propensity models within gambling or high-frequency fintech environments

Business Acumen - Ability to communicate complex concepts like model drift and precision/recall in terms of NGR impact and turnover to non-technical stakeholders