Тип вакансії: Повна зайнятість

Розташування:

What you'll do
Design the math

Nice to have
-Build math models for slots paytables, reel strips and weights, feature probabilities, RTP breakdown per feature, hit rate, volatility profile, max win and max exposure
-Run large-scale simulations (100M+ spins) to confirm the model behaves as designed, and iterate until the play experience matches the design intent
-Turn game concepts from designers into workable models and pitch your own concepts when you see an opportunity

Ship it and prove it
-Write math implementation specs that engineers can build from without guessing
-Validate and sign off the math engine: verify the implementation against your model, and help troubleshoot discrepancies
-Prepare math documentation for certification labs (GLI, BMM, iTech Labs) and support the certification process
-Write statistical summaries that a producer or an account manager can actually read

Keep it healthy
-Support and tune released models and features; analyse live performance data and feed it back into new designs

Must have
-2+ years of hands-on slot math
-Strong probability theory and combinatorics you can derive a distribution, not just simulate it
-Python for simulation and analysis (NumPy / pandas / SciPy or equivalent)
-Advanced Excel: building and reverse-checking par sheets, pivots, validating simulation output against
closed-form math
-Degree in Mathematics, Statistics, Computer Science or equivalent or a portfolio strong enough that we stop asking
-English B2+ you'll write specs and certification documentation, and correspond with labs and
partners
-Genuine interest in games. You should have opinions about why one bonus feature feels better than another

Nice to have

-Table games or bingo math (house edge, side bets, prize-pool distribution, pattern probabilities,
card/ball draw models) or a clear appetite to learn it, since our roadmap includes all three
-C++ or another compiled language, for working close to the math engine
-Familiarity with regulatory frameworks (MGA, UKGC, Ontario, GLI standards) and responsible-gaming constraints
-SQL / BI tools for live-performance analysis
-Using AI models as part of your validation and verification workflow cross-checking analytical derivations against simulation output, generating and reviewing validation scripts, catching inconsistencies in par sheets and math specs before they reach engineering or a certification lab.
-We're looking for someone who uses these tools to find their own mistakes faster, while still owning every number they sign off on

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