Quant - Mathematician at Oddin.gg

Popis pracovní pozice:

Nejnovější informace o práci od Oddin.gg na pozici Quant - Mathematician. If the Quant - Mathematician volné místo v Praha odpovídá vaší kvalifikaci, zašlete svou aktuální žádost nebo CV přímo přes aktualizovaný portál Jobkos.

Vezměte prosím na vědomí, že hledání práce nemusí být vždy snadné, protože kandidáti musí splňovat určité požadavky stanovené společností. Doufáme, že kariérní příležitost v Oddin.gg na pozici Quant - Mathematician níže odpovídá vaší kvalifikaci.

Oddin.gg is the global leader in B2B esports betting solutions. We are delivering an end-to-end ecosystem to bookmakers across the globe. Operators partnering with Oddin.gg can attract a new generation of bettors, drive betting volumes 24/7, and improve sportsbook profitability.

We work with purely esports titles such as Dota2, LoL, CS:GO, as well as esports analogues of traditional sports like FIFA (soccer), NBA2K (basketball), and more. Based on the data we have available, we create and continuously improve mathematical models that help us predict match odds.
Your Team: 

You'll be on a team with people who have quantitative and mathematical backgrounds. Our main focus is building mathematical models for video games based on traditional sports. This involves an iterative model-building approach, putting those models into practice, validating and testing them thoroughly, analyzing and processing lots of data, and collaborating with other teams in the Firma. We primarily code in Python. Being proactive is really valued here, and we offer plenty of freedom for you to bring your great ideas forward.

What You'll Be Working On:

• Analyzing patterns and strategies across a wide range of sports and games, mainly titles like NBA 2K (basketball), Madden (American football), or League of Legends and CS:GO, to uncover key insights.
• Designing, implementing, and validating mathematical models to simulate potential game scenarios and outcomes, with a focus on probabilities.
• Creating innovative models that integrate real-world factors, such as player psychology, to enhance predictive accuracy.
• A stimulating and creative role that involves applying a diverse set of mathematical skills, from writing optimized code to exploring advanced mathematical concepts.

Skills You’ll Need:

• Basics of Python programming and git, with a strong willingness to improve, learn and advance quickly.
• Master’s degree in mathematics or related area.
• Solid foundation in university-level linear algebra and calculus - a must for building complex models and solving problems.
• A good understanding of probability theory; or knowledge of measure theory and strong willingness to learn.
• Most importantly, being able to learn fast, move quickly and not being afraid to bring your own ideas.

Why Oddin?

• Nimble environment where everything can be implemented extremely quickly
• Get the things done attitude, no blaming “policy”, growing from mistakes approach
• Every feedback from the employees and partners is considered for ongoing improvements
• Huge opportunity to work in the booming industry, Esports.
• Immediate impact on the performance of the Firma
• Flat org chart, speaking directly to co-founders and CEO
• Participation in our vision to become No. 1 esports analytics Firma
• Flexible working hours that you can adapt to your needs
• Professional growth and interesting discussions at our team and Firma meetings, where we discuss interesting topics in the field of programming and data analytics

Join Oddin.gg — where your work matters, your ideas count, and the future of esports is being built.

Informace o práci:

• Firma: Oddin.gg
• Pozice: Quant - Mathematician
• Místo výkonu práce: Praha
• Země: CZ

Jak poslat žádost:

Po přečtení a pochopení kritérií a minimálních požadavků na kvalifikaci uvedených v informacích o pracovní pozici Quant - Mathematician at the office Praha výše, si okamžitě připravte dokumenty k žádosti, jako je průvodní dopis, životopis (CV), kopie diplomu, výpis známek a další přílohy. Odeslat můžete přes odkaz Další strana níže.