* Salário: R$ 2.000 a R$ 5.000 por mês (estimado)

* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.

Área: Outros

Nível: Junior

We’re looking for an Odds Compiler to join our team! 🎲🏆

As an Odds Compiler, you’ll be responsible for creating special odds and pricing models for a variety of sporting events — with a strong focus on mathematical and statistical analysis.
Working closely with the Bookmaking team, your mission is to ensure our sportsbook offering is world-class — combining an exceptional product, competitive market coverage, and effective risk control.

If you have a sharp analytical mind, love sports, and thrive where data meets strategy, this is your game! 🏆💥

RESPONSIBILITIES

Compile special odds for a range of sporting events, focusing particularly on football.
Develop and implement semi-automated pricing models to enhance the efficiency and effectiveness of odds publishing.
Collect and analyze pre-match sports data to continuously improve our sportsbook product offering.
Monitor and manage liabilities for published markets, evaluating their performance.
Create reports and presentations to provide valuable insights into these markets.
Research market trends and monitor competition to gain valuable market insights.
Collaborate with other teams across the department to assist with various odds-related tasks.
Continuously develop and document trading skills and tools to enhance the sportsbook product.

REQUIREMENTS

Bachelor's degree or equivalent in Mathematics or Statistic
In-depth understanding of sportsbook products and operations.
A genuine enthusiasm for sports.
Strong mathematical and numerical skills, including expertise in mathematical modeling, statistical analysis and modeling.
Ability to effectively analyze and present data, with a track record in manipulating working with various markets and requests.
Proficiency in MS Office or Google Workspace (especially Excel/Sheets).
Knowledge of statistical programming languages (e.g., R, Python) is considered a plus.
A self-starter with high motivation to work in a fast-paced environment.
Ability to make data-driven decisions and apply innovative, solution-oriented thinking.
Strong problem-solving skills, attention to detail, creativity, adaptability, and organizational skills.
Fluent English

Since this position requires frequent collaboration with global stakeholders, please submit your CV in English!