Economy Simulation Engineer_Monopoly GO! GB - United Kingdom

Staff Economy Simulation  GO!

GB - United Kingdom

Scopely is looking for a Staff Economy Simulation Engineer to join our Monopoly GO! team and work from the UK on a remote basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

Monopoly GO! is our new casual game and a key franchise that has just become Scopely’s largest game, enjoyed by millions of players. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.

Your mission will be standardising and processing configuration data and developing systems that accurately replicate game logic, generating reliable simulation outcomes that help the economy team predict, validate, and understand the impact of changes by combining real player data with advanced simulations.

You will partner closely with Game Economists, Product Managers, Data Scientists, and Game/Server Engineers to ensure a balanced, fun, and sustainable experience for millions of players, ideal for someone who loves understanding how complex systems work.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth

• Design standardized data models for Economy and Live Ops features, finding commonalities and relations between different features
• Transform raw game data into analytical datasets for simulation and evaluation
• Collaborate with Game Economy to define KPIs, progression metrics, and economic models

• Build tools and code that accurately replicate in-game mechanics to validate and experiment with configurations
• Build validated simulation engines capable of modeling full player progression and event cycles
• Create reusable libraries enabling designers/economists to run simulations without engineering support

• Extract, process, and combine data from Big Query or other data warehouses
• Validate that simulations reflect real player behavior and outcomes
• Automate the creation of datasets required for future analyses

• Build pipelines and systems to run millions of simulations efficiently
• Optimize workloads using Spark, Dataproc, Airflow, DBT, or similar frameworks
• Maintain high code quality with proper testing, observability, and reproducibility

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Strong proficiency in Python or C# (required): classes, testing, simulation, optimization
• Solid experience with SQL and at least one data warehouse (Big Query preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools:
  Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Familiarity with cloud infrastructure
• Great tech communication skills, who knows how to share knowledge with non-technical people
• A strong interest in leveraging AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or Live Ops systems
• Experience developing internal libraries or tools for non-technical teams
• You’ve mentored less experienced team members
• Curious about experimenting with AI systems to extend the capabilities of existing pipelines or prototype new evaluation methods

• You’re passionate about understanding how complex systems work
• You feel comfortable working between technical…