
// Open Role at Aristocrat Gaming
Join Aristocrat Gaming as a Game Mathematician I to develop intricate math models for Class 2 and 3 slot games, ensuring compliance and contributing to world-class gaming experiences enjoyed by millions globally.
At Aristocrat, we are passionate about crafting world-class gaming experiences that entertain millions of players globally. As a Game Mathematician I, you will play a crucial role in developing the future of our games. Our mission is to bring happiness to life through the power of play, and we seek ambitious, innovative individuals for our inclusive and collaborative team. This is an outstanding opportunity to work with dedicated professionals and contribute to high-quality games that compete globally. If you are motivated by challenge and thrive in a dynamic environment, this role is perfect for you!
This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.
We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.
Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.
Specific details about compensation and benefits for this position will be discussed during the recruitment process.
- Minimum 2+ years of industry experience in a Math or Statistics related role - Basic programming skills in C/C++ under Windows/Linux operating systems - Strong skills in probability theory and its applications - Proficiency in MS Office tools (Excel, Word, and PowerPoint) - Good understanding of the Software Development Life Cycle (SDLC) - Educational background in Mathematics or Statistics (MSc or equivalent experience, or M. Tech.)