Simulation Engineer (Python)

Що робити

Build and maintain a config-driven simulation framework for slot games: reels /weights, paytables and feature parameters defined in configuration rather than in code.
Make the tooling usable directly by the Game Mathematician, so balancing iterations can be run without engineering involvement.
Run and analyze Monte Carlo simulations to validate RTP, payout distribution, volatility, hit rate and max win frequency, including convergence and confidence intervals.
Prepare math validation reports generated from simulation runs, with reproducible results (seeded runs, versioned configurations) and result export.
Generate the tables, configuration files and exports that accompany the mathematical documentation.

Strong Python at an engineering level: numpy, vectorization, profiling, working with large data volumes.
Experience building config-driven, reproducible tools rather than one-off scripts, including seeded runs and versioned configurations.
Applied statistics: confidence intervals, convergence, variance, and working with rare events and distribution tails.
Ability to work precisely from a written technical specification, raising ambiguities rather than resolving them independently.
Testing discipline: unit tests on calculation logic, and validation of simulated results against analytical values.

Experience in iGaming or with casino game mathematics.
Background in a domain involving applied probability: quantitative finance, actuarial work, sports betting, computational physics, or operations research.
Performance optimization experience (Numba, Cython, C++ or Rust).
Experience with CI pipelines for computational workloads.
Understanding of compliance and regulatory requirements in iGaming.