Game Economy Manager
| Company | Aristocrat Leisure |
|---|---|
| Location | Montreal, QC, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- 2+ years of experience working in the field of game economy
- Strong understanding of numerical simulation methods and their applications (Monte Carlo, Metropolis-Hastings and so on)
- Good understanding of behavioral economics and motivational theories
- Experience in predictive analytics, segmentation, and related areas
- Knowledge in SQL – an advantage
- Intermediate Python or R – an advantage
- Ability to learn fast
- Problem solving
- Great personal communication skills
- Ability to work with ambiguity
- Highly curious
- Stakeholder management skills
- Ability to switch context quickly
Responsibilities
- Support the product, game ops and data teams with a holistic understanding of the game economy to generate growth and a positive player experience
- Define and help design simulations and predictive models to forecast the results of changes and balancing of content, for optimal player experience
- Explore the segmentation of the players based on behavior and motivation theory and recommend new and useful segments to use for our game operations and feature design
- Increase the level of insights in game economy within the teams
- Drive game economy best practices and knowledge sharing throughout the company, working with other Game Economy Managers to build this knowledge capital.
Preferred Qualifications
- Knowledge in SQL – an advantage
- Intermediate Python or R – an advantage