Game Mathematician (Freelance)

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