Quantitative Analyst
Workplace: Stockholm, Sweden
Expires: July 30, 2025
Kambi is seeking a highly motivated and experienced Quantitative Analyst to join their quantitative analysis team in central Stockholm. The role offers the opportunity to research and develop cutting-edge algorithmic solutions to support B2B Sportsbook operations, with responsibility for developing and maintaining sports models and leading cross-functional teams.
Main requirements:
- Academic degree in a quantitative discipline (computer science, mathematics, physics, etc.)
- Previous experience designing predictive models for real-world business problems
- Advanced knowledge of stochastic processes, mathematical methods, and probability theory
- Proficiency with C/C++ and Python, exposure to software teams with git is a plus
- Experience using statistical and query languages such as R and SQL for data analysis
- Excellent written and verbal communication skills
- Experience with cloud computing (AWS) is a plus
Responsibilities:
- Support and collaborate closely with trading, risk, and other business areas by providing algorithmic solutions
- Responsible for the end-to-end algorithm development process including inception, deployment, and maintenance
- Analyze and interpret data to detect meaningful information, changes in patterns, and trends
- Communicate results and ideas effectively to stakeholders
Required hard skills:
- Quantitative degree knowledge
- Predictive modeling
- Stochastic processes and probability theory
- C/C++ programming
- Python programming
- R programming
- SQL querying
- Data analysis
- Written and verbal communication skills
Recommended hard skills:
- Experience with git and software teams
- Experience with cloud computing (AWS)
Soft skills:
- Creative and experimental mindset for data mining
- Strong problem-solving skills focused on product development
- Drive for innovative algorithmic solutions and data-driven decision making
- Strong interpersonal and communication skills for business and technical colleagues
- Ability to manage multiple tasks and priorities
Coding languages:
- C++
- Python
- R
- SQL
Natural languages:
- English (Proficient)
Cultural skills:
- Collaboration across cross-functional teams
- Innovation focus
- Fast-paced industry adaptability