Simulation Engineer (Python) — Game Math

Job description

We are looking for a Simulation Engineer (Python) to build and maintain simulation tooling for slot game mathematics within an iGaming product.

You will work closely with a Game Mathematician, turning mathematical specifications into fast, reproducible, config-driven simulations, validating results, and supporting development and QA during game integration.

The mathematical model itself is owned by the Game Mathematician — your focus will be on engineering, simulations, validation, performance, and tooling.

Prior iGaming experience is welcome but not required.

Responsibilities

- Build and maintain a config-driven simulation framework for slot games, including reels/weights, paytables, and feature parameters.

- Make simulation tooling easy to use directly by the Game Mathematician without engineering involvement for every balancing iteration.

- Run and analyze Monte Carlo simulations to validate RTP, payout distribution, volatility, hit rate, and max win frequency.

- Analyze simulation convergence, confidence intervals, rare events, and distribution tails.

- Ensure reproducibility through seeded runs and versioned configurations.

- Generate validation reports, tables, configurations, and result exports.

- Cross-check simulation results against analytical calculations and known-answer configurations.

- Write unit tests for payout calculation logic and regression tests for RTP across configuration changes.

- Support developers and QA during integration and testing.

- Investigate and reconcile differences between reference simulations and game engine results.

Requirements

- Strong Python at an engineering level.

- Hands-on experience with NumPy, vectorization, profiling, and large data volumes.

- Experience building maintainable, config-driven and reproducible tooling, not just one-off scripts.

- Strong knowledge of applied statistics and probability: confidence intervals, convergence, variance, distributions, and rare events.

- Experience with Monte Carlo simulations or other large-scale computational simulations.

- Strong testing discipline, including unit and regression testing.

- Ability to validate simulated results against analytical or expected values.

- Ability to translate detailed mathematical/technical specifications into reliable software.

- Strong analytical thinking and attention to detail.

- Ability to identify ambiguities in specifications and clarify them before implementation.

- English Intermediate+.

Nice to Have

- Previous experience in iGaming, casino games, or slot mathematics.

- Background in applied probability domains such as quantitative finance, actuarial science, sports betting, computational physics, or operations research.

- Performance optimization experience with Numba, Cython, C++, or Rust.

- Experience building visualization/reporting tools for statistical distributions and simulation results.

- Experience with CI pipelines for computational workloads and automated regression testing.

- Understanding of iGaming compliance or regulatory requirements.

What We Offer

- Fully remote work.

- Opportunity to work on technically challenging iGaming products.

- Close collaboration with Game Mathematicians, developers, and QA engineers.

- Complex engineering challenges involving Python, probability, statistics, simulations, and performance optimization.

- Opportunity to build simulation tooling that directly impacts game development and balancing.

- International projects and an experienced engineering team.

- Long-term cooperation and professional growth.