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

Senior Game Economy Manager

Key skills