Junior Quantitative Analyst at Kaizen Gaming

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We are Kaizen Gaming

Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in the world, operating in 13 markets with 2 brands, Betano & Stoiximan.

We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2.200 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to press play on potential?

Let's start with the role

We are looking for a Junior Quantitative Analyst responsible for creating, developing and refining trading models to enhance the efficiency of the sportsbook operation.

This position demands an individual with a keen interest in sports analytics, a deep understanding of mathematical modeling and the ability to innovate and adapt in a dynamic betting environment. The successful candidate will play a pivotal role in boosting the efficiency and accuracy of our sportsbook operations through advanced quantitative analysis and modeling.

As a Junior Quantitative Analyst you will

Develop quantitative models and tools to optimize trading across various sports, focusing on optimal techniques and technologies for continuous improvement of price accuracy, performance and content;
Build pre-match and in-play derivative pricing models on a wide variety of sports;
Create predictive models spanning diverse sports;
Maintain and enhance all models though ongoing model validation and improvements;
Design clear and efficient workflows, development environments, data capture tools and continuous education and improvement programs;
Comprehend how models interact with internal systems stakeholders, providing clear explanations of methodologies to model consumers ;
Collaborate productively with colleagues from Technology, Product, Risk and Trading departments.

What you’ll bring

Bachelor in Mathematics, Statistics or other Scientific Discipline;
Strong analytical thinking skills in order to solve complex problems;
Experience using statistical languages such as Python or R;
Knowledge of simulation and optimization techniques;
Excellent communication skills for translating complex technical information;
Previous experience in gaming industry/ betting;
A solid understanding of the gaming industry and an interest in sports will be considered as a plus;
Κnowledge of programming languages for model implementation (object-oriented principles, data structures, functional programming principles, knowledge in C#) will be considered as a plus.

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Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $50,000 - $70,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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