Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.
Reporting to the Head of Quants, you will be working closely with your colleagues in Quants but also various product owners, developers, and traders company-wide.
Our department is responsible for creating predictive models for both pre-match and in-play betting markets in various sports.
Responsibilities:
- Learn how predictive models look like in a betting context and build models on your own
- Support the team in maintaining the codebase
- Analyze, evaluate, and optimize existing predictive models as model co-owner
- Research new methods for future applications
Requirements:
- Master’s degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering, or a closely related field
- Experienced in predictive modeling, with a deep understanding of data analysis and modeling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.
- Very strong skills in R or Python
- Advanced coding and analytical skills
- Strong communication skills, fluency in English
- Creative thinking, keen to further refine systems and processes
- Highly self-motivated, leading by example, and enthusiasm
- Being a team player, with the ability to work with new teams immediately
- Strong interpersonal skills
Preferred qualifications:
- Experience in object-oriented programming, preferably Java
- Experience with Gitlab, Jira & Confluence
- Experience with SQL
We offer:
- A collaborative environment with colleagues from all over the world
- Impactful work: contribute to the development of groundbreaking products that influence industries globally
- Ability to shape your own workday and career via a clearly defined professional and personal development plan
- Flexible working model