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As a Game Designer, you will play a pivotal role in crafting the future of our iLottery and iGaming eInstant games portfolio. Were looking for a creative individual who can combine a passion for gaming with practical design skills to deliver solutions that make a real impact on players.


What you'll do


Lead the full lifecycle of multiple games-from conceptualization through launch and live operations
Define product vision, positioning, and success metrics for each title
Drive execution while maintaining high quality and commercial excellence standards
Define and evolve core game mechanics
Partner with mathematicians, designers, and studios to develop compelling, competitive iLottery game experiences
Apply deep understanding of player psychology, monetization levers, and retention dynamics
Continuously set the standard on innovation and differentiation in the portfolio
Take full accountability for game performance metrics (engagement, retention, monetization)
Analyze data and player behavior to drive continuous improvements and scaling strategies
Function as a senior ally to game studios, guiding creative and production directions
Ensure games meet regulatory and responsible gaming requirements across jurisdictions

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the world’s largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. The Actuarial Department at KPMG Israel is seeking a Financial Modeling Analyst to join a professional team that provides actuarial audit and advisory services to leading financial institutions in the market. Our department works closely with public companies, banks, credit card companies, pension funds, and insurance firms, operating at the core of their economic and regulatory decision-making processes.
Key Responsibilities
* Build, run, and analyze financial and actuarial models
* Work with diverse databases, including developing and executing data controls
* Create and maintain KPI reports and analytical deliverables
* Collaborate with internal data servers and organizational information systems
* Manage analytical tasks end-to-end while meeting deadlines
* Work independently as well as in a team within a dynamic, challenging environment

תת מחלקה:
אקטואריה

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.



Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.


Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

As a Senior Machine Learning Engineer, you will work closely with top notch engineers and data scientists to design, develop, evaluate and deploy Gen AI-powered solutions for scalable, customer-facing applications. Your work will focus on building and applying state-of-the-art agentic capabilities to drive business impact and improve efficiency.



Key Job Responsibilities and Duties:

Design, develop, and deploy high-quality, performant, and efficient Generative AI-powered solutions and agentic systems into production environments.

Evaluate and define optimal architectural solutions by considering emerging technologies, business needs, and technical requirements for latency, throughput, and scale.

Own services end-to-end, including implementing robust monitoring and maintenance strategies to ensure application and ML health, quality, and performance.

Write and maintain clean, scalable, and well-tested production code, ensuring reproducibility and seamless integration via CI/CD pipelines.

Pioneer and promote best practices and the adoption of cutting-edge technology in GenAI application development.

Collaborate effectively with Product Managers, Data Scientists, and Analysts to understand business requirements and translate them into technical ML and agentic solutions.

Provide technical guidance and mentorship to other engineers, contributing to the team's overall technical development.

As Operations Associate you will be responsible for the correct onboarding, monitoring and day-to-day operation of a subset of our partners. They are essential to our profitability.

You will partner with the CSM, Product and Data teams to ensure nothing falls between the cracks.

The main tasks expected are:
Timely onboard any new customer to the external providers you are responsible of.
Monitor performance and raise issues to the product team for those to be fixed.
Identify improvement paths to the exchange of new data and propose solutions.
Automate as much of the work as possible so you can focus on higher value added tasks.

What you'll do:
Track, measure, automate and debug revenue generation processes around dispute representment and technical related integrations.
Oversee our partnerships with revenue generation partner companies.
Track margins and collections for all customers and work with the CS team to enforce needed actions.
Partner with Product to automate repetitive CS tasks and build quicker processes to ensure smooth collaboration between us and our customers, as well as internally.