About Kambi
Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners.
Our vision is to create the world’s leading sports betting experiences, together with our partners.
Kambi are looking for a highly motivated and experienced self-starter to join our quantitative analysis team in central Stockholm. For the right candidate, the position will provide the opportunity to research and develop cutting-edge algorithmic solutions to support our B2B Sportsbook operations. You will take a leading role in cross-functional teams, building complete trading and risk solutions, and where your main responsibility will be to develop and maintain risk and sport models. You will report to the Head of Quantitative Analytics.
Main responsibilities:
- Support and work in close collaboration with trading, risk and other areas of the business by providing algorithmic solutions
- Responsible for the end-to-end process of algorithm development, from inception to deployment as well as maintenance
- Analysis and interpretation of data to produce meaningful information, in particular changes in patterns and trends
- Communicate results and ideas to stakeholders
Skills and experience:
- An academic degree in a quantitative discipline (computer science, mathematics, physics, etc.)
- Previous experience in a similar role designing predictive models for real-world business problems
- Advanced knowledge of stochastic processes, mathematical methods and probability theory
- Proficiency with C/C++ and Python, in particular having worked in software teams (git) is a plus
- Experience using statistical and query computer languages (R/SQL) to manipulate data and draw insights from large data sets
- Excellent written and verbal communication skills
- Experience with cloud computing (AWS) is a plus
- Familiarity with Apache Spark is a plus.
- Skills in object-oriented programming is a plus
The successful candidate has:
- Creative and experimental mindset to data mining
- Strong problem-solving skills with an emphasis on product development
- A drive to promote innovative algorithmic solutions and data driven decision-making
- Strong interpersonal skills and the ability to communicate to both business and technical minded colleagues
- Ability to handle multiple tasks and priorities
What's in it for you?
- Opportunity to work in a fast-growing industry
- A role within a highly ambitious team
- Support for personal development
- A fun and flexible working culture
We are curious about your story, if you are interested in meeting us please apply with your CV.
#wearekambi
Kambi's ongoing commitment to Diversity and Inclusion in the workplace
If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback.
Creating an inclusive environment
We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today.
#wearekambi
