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# Game Economic Designer

- **Company:** Pacifica Continental
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Visualization, Data-Flow Analysis, Python (Programming Language), Monte Carlo Methods, Tableau (Software), Management of Software Versions, Large Language Models, Jupyter, Git, Matplotlib, Looker Analytics
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_69B0BEEC5B77757C91AE88D686B84D9E

## About the Role

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 Sportsbook Risk or market-making mechanics. Familiarity with Live-Ops-tuning a game economy in real-time based on live data.

## Description

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