Game Mathematician (iGaming / Slot Games)

About the position

We are seeking a Game Mathematician with direct iGaming experience to design and model the mathematical frameworks behind slot-style games. This role is responsible for developing and validating game math models that determine Return to Player (RTP), volatility, hit frequency, and overall player engagement — balancing regulatory accuracy with compelling gameplay. This is applied probability in a commercial gaming environment — not academic research.

Responsibilities

• Design and build mathematical models for slot and casino-style games.
• Define and calculate RTP targets, volatility curves, hit frequency, and payout structures.
• Use simulation and combinatorics to validate game mechanics.
• Write code (C#, C++, or Python) to model and verify theoretical outcomes.
• Build and maintain advanced Excel models for probability and payout simulations.
• Collaborate with producers and designers to optimize player experience while maintaining commercial viability.
• Document game math clearly for internal stakeholders and regulatory review.
• Ensure accuracy and consistency across the full game lifecycle.

Requirements

• Minimum 2+ years of direct experience in iGaming, slot game design, or casino game mathematics.
• Demonstrated experience calculating RTP and modeling volatility.
• Strong applied knowledge of combinatorics, probability theory, and statistics.
• Experience running simulations to validate theoretical outcomes.
• Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, or equivalent applied experience.
• Candidates without direct gaming math experience will not be considered.

Nice-to-haves

• You understand the balance between mathematical precision and player engagement.
• You can translate complex models into clear business documentation.
• You are comfortable adjusting mathematical variables based on feedback.
• You thrive in cross-functional collaboration with producers and designers.
• You enjoy solving complex probability problems in a fast-moving environment.