Quantitative Analyst

Quantitative Analyst (M/F/d)

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. This typically requires

cleaning up, visualizing, analyzing and interpreting relevant data, as well as

implementing the created models in Java and testing them. Publishing and

maintaining these Java libraries is also one of our responsibilities. Furthermore,

we are providing various data analysis or generally math related tasks on

demand.

THE CHALLENGE
- 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/optimize existing predictive models as model co-owner

YOUR PROFILE

Required:

- Master’s degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field
- Experience in predictive modeling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.
- Very strong skills in R or python
- Experience in object-oriented programming (preferably Java)
- 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:

- Experience with Gitlab, Jira & Confluence
- Experience with SQL

OUR OFFER:

- Become part of one of the fastest-growing businesses in the digital sports environment and help us scale our operations
- Exciting job field with the opportunity for personal development
- Working with international colleagues (main language in the office is
English)
- Education and training, like German and English courses and Sportradar eAcademy
- Remote working possibilities and flexible working hours
- Health Care, workshops, and life insurance policy
- Lunch Club and complimentary fresh fruit and coffee in the office
- Tickets for sports events and concerts, as well as billiard, table soccer, anddarts for after-work sports activities in the office
- Team events, like Happy Hours or runs, summer, and year-end party

The minimum monthly salary for this position is according to the Collective Bargaining Agreement, overpayment will be considered depending on qualifications and working experience.

Buckle up, hold on tight and get ready for an incredible adrenaline-rush throughout this exciting ride with us: #maketheteam and shape your future as well as ours

Sportradar is an Equal Opportunity Employer. We are committed to encourage

diversity within our teams. All qualified applicants will receive consideration

without regard to among other things, your background, status, or personal

preferences.