Associate Game Designer: Math & Probabilities for Poker

Light & Wonder, Inc.; Sydney; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and benefits

4:1 on-site working arrangements

Company paid parental leave

LinkedIn Learning access

Novated car leasing

Rewards & Recognition Program

Employee wellness programs

Company-sponsored events andActivities

Job summary

Light & Wonder in Silverwater, Australia, seeks an Associate Game Designer / Mathematician to help create concepts for poker machine games and design math models. You’ll be responsible for calculating paybacks, frequencies and deviations, and building tools to verify models while preparing regulatory submissions.

You’ll collaborate with teams to improve existing methods, communicate complex math clearly, and support regulatory compliance.

Qualifications

• Bachelor’s degree with a strong mathematical component, emphasis on probability and statistics, or equivalent experience.
• Strong mathematical ability with emphasis on probability and statistics.
• Proficiency in Excel, including linking and formulas for probabilistic events.
• Intermediate programming skills in C++, C#, Python, Unity or related languages.

Responsibilities

• Assist in creating concepts for new poker machine games to maximise player appeal and performance.
• Design and refine mathematical models for games and features.
• Handle all math model calculations, including paybacks, hit frequencies, and deviations.
• Develop tools to verify math models and analyze gameplay characteristics.
• Prepare regulatory spreadsheets per Light & Wonder standards; review colleagues’ calculations.

Skills

Mathematics

Probability & Stats

Excel

Programming (C++, C#, Python)

Team communication

Education

Bachelor’s degree with Strong Mathematical component

Tools

C++

C#

Python

Unity

Job description

Light & Wonder in Silverwater, Australia, seeks an Associate Game Designer / Mathematician to help create concepts for poker machine games and design math models. You’ll be responsible for calculating paybacks, frequencies and deviations, and building tools to verify models while preparing regulatory submissions.

You’ll collaborate with teams to improve existing methods, communicate complex math clearly, and support regulatory compliance.