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Game Economic Designer

Job in Pacifica, San Mateo County, California, 94045, USA
Listing for: Pacificacontinental
Full Time position
Listed on 2026-06-05
Job specializations:
  • Entertainment & Gaming
    Video Game, Online Gaming / Sports Betting
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
## Pacifica Continental# Game Economic Designer### Remote - Full Time Game Economic Designer

Role Overview As a Game Economic Designer at High Stack, you are the architect of our digital ecosystem’s monetary and behavioral flow. You don't just build paytables; you design the "invisible hand" that balances player excitement, long-term retention, and house sustainability. You will bridge the gap between high-fidelity iGaming mathematics (RTP, Volatility) and virtual macroeconomics, ensuring that every gold coin, crypto-bonus, and VIP tier interacts perfectly to create a thriving, non-exploitable gaming economy.

Key Responsibilities
● Systemic Economy Design:
Design and manage the end-to-end lifecycle of virtual resources (currency, experience points, boosters). Define how players earn, spend, and trade value within the High Stack ecosystem to ensure an optimal "faucet and sink" balance.
● Mathematical Modeling:
Build complex models that simulate how game mechanics (Slots, Crash, Sports book) interact with meta-features like VIP levels and loyalty rewards. You ensure that as players progress, the economy remains challenging and rewarding without breaking the platform’s net margin.
● Behavioral Balancing:
Use player data and psychology to set numerical thresholds (prices, drop rates, level-up requirements). You adjust these values to optimize the player journey, ensuring the game is neither too "blocking" nor too inflationary.
● Economy Guardrails & Risk:
Quantify the systemic impact of promos and crypto-linked bonuses. Design automated "throttles" and limits to protect the economy from hyper-inflation, bot farming, and bonus abuse while maintaining the "Provably Fair" integrity of the RNG.
● Validation & Simulation:
Conduct multi-million-iteration Monte Carlo simulations to validate not just game-level RTP, but Session-level Effective RTP. Model "Whale" behavior and "Heater" scenarios to ensure the economy survives extreme volatility.
● Cross-Functional Technical Writing:
Collaborate with Lead Game Designers and Product Managers to translate economic theories into technical specs. Produce robust documentation (Jupyter/PDF) that explains the "Why" behind the numbers for developers, investors, and regulators. Core Tech Stack
● Python/Jupyter:
Primary for economic simulations, Monte Carlo modeling, and resource flow analysis.
● Excel/Google Sheets:
For rapid economy balancing, pricing scales, and sensitivity "what-if" analysis.
● Data Visualization:
Tools like Tableau, Looker, or Matplotlib to track real-time economic health and player spend patterns.
● Modern Workflow:
Git for versioning math specs and LLM-assisted workflows for drafting economic logic and test cases. Required Skills & Experience
● 4+ Years in Quantitative Design:
Background in game economy design, mathematical modeling, or tokenomics (ideally in iGaming, Free-to-Play, or Crypto-gaming).
● Systems Thinking:
Ability to visualize and model how changing one variable (e.g., a 2% increase in a VIP rebate) ripples through the entire multi-game ecosystem.
● Statistical Mastery:
Deep expertise in probability, stochastic processes, and heavy-tailed distributions.
● Market Fluency:
Strong understanding of current gaming trends, player preferences, and the psychological drivers of "high-stakes" engagement.
● Communication:
Proven ability to explain abstract economic trade-offs (e.g., "Player Value vs. Operator Margin") to non-technical stakeholders. Nice to Have
● Advanced Degree in Economics, Game Design, or Mathematics.
● Experience with Sports book Risk or market-making mechanics.
● Familiarity with Live-Ops—tuning a game economy in real-time based on live data.
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