Senior Game Economy Manager

Are you a skilled game economist with at least 2 years of crafting, analyzing, and coordinating economies in the gaming industry? In your next role you will form part of a major game management team in advising, strategizing and optimizing the economy of one of the top grossing games in the genre. You will additionally play a crucial role in developing the overall game economy strategy and vision at Product Madness. As a Sr. Game Economy Manager, you will be crucial to the success of our games. You will work closely with our product, game ops, and data teams to design and balance the economy of our games and to provide the teams with actionable insights. In parallel to this, you will also be an integral part of the Game Economy team, helping to build the craft of game economy in the company, supporting long-term strategy, helping build and evaluate top-class tooling to continuously improve our ways of working, and ensuring we support new games currently in production.

• Assist the teams responsible for product development, game operations, and data management by accurately understanding the game economy to drive growth and improve player happiness. This will include creating and testing high-level strategies for pricing of all purchasable items and collectibles, and balancing the economy of the game.
• Explore the segmentation of the players based on behaviour and motivation theory, and recommend new and useful segments to use for our game operations and feature design.
• Define and help build simulations and predictive models to forecast the results of changes and balancing of content, for optimal player experience.
• Increase the level of insights in the game economy within the teams.
• Implement game economy guidelines and promote knowledge sharing across the company, collaborating with other Game Economy Managers to develop this knowledge base.

• 2+ years of experience working in the field of game economy
• Good understanding of behavioural economics and motivational theories
• Experience in predictive analytics, segmentation, and related areas
• A proven understanding of SQL
• Possessing a solid grasp of numerical simulation methods and their applications (such as Monte Carlo, Metropolis-Hastings, etc.) is beneficial
• Intermediate Python or R is an advantage
• Great personal communication skills
• Ability to work with ambiguity
• Highly curious problem solver
• Collaborator leadership skills
• Ability to switch context quickly