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The Senior Technical Compliance Analyst will interpret compliance regulations into technical requirements, collaborate with stakeholders, support tech teams on regulatory understanding, and lead auditing processes in a gaming environment.

The Senior Technical Compliance Analyst will bridge Compliance, Business, and Technology by interpreting regulations into technical requirements. Responsibilities include facilitating compliance-related discussions, creating technical requirements, leading audits, and supporting tech teams in understanding regulatory obligations.

The Rewards Specialist is responsible for designing, implementing, and managing the compensation and benefits programs at Kaizen Gaming. This role involves collaborating with HR, finance, and vendors to optimize pay structures, conduct data analysis for compliance, and prepare reports for management.

As a Product Manager for Gaming & Rewards at Kaizen Gaming, you will define the strategic vision, oversee development of new features and promotions, conduct market research, analyze customer feedback, establish KPIs, ensure compliance with regulations, and communicate product strategy to stakeholders while mentoring your team.

The Payments & Fraud Team Leader is responsible for managing a team that monitors payment transactions, detects fraudulent activities, conducts risk assessments, and ensures compliance with regulations. This role involves collaborating with customer service and technology teams, optimizing payment processing operations, and resolving payment-related issues.

Junior Quantitative Analyst responsible for creating, developing, and refining trading models to enhance the efficiency of sportsbook operations. This role involves developing quantitative models, building pricing models for various sports, creating predictive models, maintaining and enhancing models, and collaborating with internal departments.

As an Analytics Engineer, you will enhance data operations by improving reporting processes, translating business requirements into scalable solutions, adopting data modeling best practices, and overseeing data transformation pipelines using ETL/ELT processes.