We’re building the world’s first Creator Casino: a creator-powered gaming network where influencers launch Rooms, run drops/missions, and monetize Originals built on top of certified game engines—powered by an AI Host layer and programmable incentives designed for high-frequency sessions and measurable creator performance.
This role helps us scale creator-led distribution, room economics, and session-velocity gameplay—without compromising trust, compliance, or margin.
Role Overview
As a Game Math Engineer at HighStack, you will own the mathematical architecture of our entire gaming ecosystem. You aren't just building paytables; you are designing a sustainable, high-stakes economy. You will bridge the gap between traditional iGaming mathematics (RTP, Volatility) and the dynamic world of crypto-economic modeling, ensuring every game is exciting for players and mathematically sound for the house.
Key Responsibilities
Design configurable reward overlays on top of certified core engines (RTP/volatility guardrails preserved)
Model and validate promo/reward mechanics layered on fixed certified math: missions, drops, boosts, pool dynamics
Collaborate with Product/ML/Ops to ensure incentive systems are both engaging and margin-safe
Economy & Game Design: Own and optimize the mathematical balance for our iGaming portfolio (Slots, Crash, Table Games). Define probabilities, distributions, and game rules to ensure sustainable margins and fair play.
Validation & Simulation: Build and run million-iteration Monte Carlo simulations to validate RTP, hit rates, and volatility. Ensure games behave as expected under extreme scenarios and are free of exploitable logic.
Economic Guardrails: Quantify the impact of promos, VIP rewards, and crypto-linked bonuses on the platform’s overall economy. Define betting limits to mitigate risk from bots, collusion, and bonus abuse.
Risk & Documentation: Assess "House Edge" exposure across casino and sportsbook contexts. Produce robust mathematical documentation and test evidence for international regulatory audits and production readiness.
Cross-Functional Collaboration: Partner with Art, Product, and Dev teams to translate complex math specs into playable features, using Jupyter Notebooks and Git for reproducible reporting.
Core Tech Stack
Python: Primary for simulation tooling, Monte Carlo models, and validation harnesses.
Excel: For rapid modeling, paytables, and sensitivity analysis.
Jupyter/R: For statistical analysis and reproducible math reporting.
Modern Tools: Git (versioning), MATLAB, and Claude/LLM-assisted workflows for math spec drafting and test generation.
Required Skills & Experience
4+ years in quantitative roles, game math, or statistical modeling (Ideally within the iGaming or crypto-gaming space).
Deep Statistical Expertise: Mastery of probability, Monte Carlo simulations, and stochastic processes.
Regulatory Knowledge: Experience preparing math documentation for compliance and certification (RTP/Volatility validation).
Communication: Ability to explain complex mathematical trade-offs (RTP vs. Margin vs. Player Excitement) to non-technical stakeholders.
Nice to Have
Experience building tunable mechanics on certified/regulated cores without breaking compliance constraints
Strong intuition for how incentive overlays change session frequency and retention
PhD or Advanced Degree in Physics, Mathematics, or Statistical Sciences.
Familiarity with sportsbook risk concepts and market mechanics.
Experience building scalable, automated validation suites for instant games.