Data science quant

This is a new, high-impact role that strengthens our Sportsbook operation through modelling, analytics and automation. You will work across both Retail and Online Sportsbook, building tools and systems that improve how markets are priced, how customers are segmented and how risk is managed. Your work contributes directly to operational scalability, regulatory transparency and long-term trading performance, supporting teams including Trading, BI, Compliance and Responsible Gaming.

Why this role is unique:

• You make us scalable by building tools and systems that absorb growing market volume without increasing manual workload or headcount.
• You bridge the gap between traditional trading and data-driven innovation by introducing model-driven thinking, smarter controls and long-term automation.
• You future-proof the operation: With BKOA and market maturity, automation and transparency are non-negotiable.
• You elevate our capability: This role recognizes and develops advanced trading & data talent, bridging two core disciplines.
• You drive cross-functional value: Your work improves not only trading, but also marketing, compliance and player protection.

Your key responsibilities:

• Build predictive pricing models for under-served or manually priced markets (e.g., player props in football and basketball, F1, niche specials).
• Automate manual workflows in trading to reduce error rates and save time (e.g., auto-pricing templates, feed gap coverage).
• Segment customers based on risk, behaviour, and value to improve trading controls, RG triggers, and personalisation.
• Design classification models to manage exposure based on competition profiles, volatility, and player types.
• Develop dashboards and reporting tools to monitor market performance, detect anomalies, and provide real-time insights to BI, Trading, and Compliance.
• Support regulatory requirements with transparent, explainable models aligned to BKOA expectations (e.g., article 4.8 on pricing and risk justification).
• Act as a strategic bridge between Trading, BI, Product, Compliance, and Responsible Gaming, ensuring your work benefits multiple teams.

• 3-5+ years in data science, analytics, quantitative research, or trading analytics
• Experience in the betting, financial, or risk modelling domain is a strong plus
• Proficiency in Python, SQL, and statistical modelling frameworks
• Understanding of key Sportsbook KPIs (margin, GGR, exposure, hit rates)
• Experience building predictive models, dashboards, and automated tools
• Strong communication skills to align across technical and non-technical teams
• Fluency in Dutch and English

• salary between €4.900,- and €6.800,- gross per month, depending on your experience.
• a full-time position for32 - 40 hours per week.
• a bonus scheme.
• you can enjoy a healthy and varied lunch in our corporate restaurant for €3,25.

Your workplace? Our office in Rijswijk is effectively where you do your work, but you mainly work in a place that best suits what you do. See below for other terms and conditions of employment.

Profiel kandidaat

Geboden wordt

The various people who work here like to be on the move, develop themselves on a personal and/or professional level, and strive for profit. That makes everyone within Nederlandse Loterij a top talent. Your talent is the sum of