At a Glance
- Tasks: Support development of mathematical models for sports betting and enhance the betting experience.
- Company: Super, a tech company redefining play through innovative technology.
- Benefits: Exciting work environment, competitive salary, and opportunities for growth.
- Other info: Join a passionate team in Greater London and make an impact in sports analytics.
- Why this job: Combine your love for sports with data analysis in a dynamic team.
- Qualifications: Strong foundation in probability, statistics, and programming skills in Python.
The predicted salary is between 30000 - 40000 £ per year.
Super is on a mission to redefine play through innovative technology. They are seeking a Junior Sports Quantitative Analyst to join their Quant team. In this role, you will support the development and testing of mathematical models for sports betting, working closely with traders and engineers to enhance the betting experience.
The ideal candidate will have:
- A solid foundation in probability and statistics
- Strong programming skills in Python
- A passion for sports analytics
This position is based in Greater London, UK.
Junior Sports Quantitative Analyst: Markets & Data in London employer: Super
Super is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. Located in the vibrant Greater London area, employees benefit from a stimulating environment that encourages professional growth through hands-on experience in sports analytics and access to cutting-edge technology. With a strong emphasis on employee development and a passion for redefining play, Super offers a rewarding career path for those looking to make a meaningful impact in the sports betting industry.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Sports Quantitative Analyst: Markets & Data in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in Python, especially those related to sports analytics. This will give you an edge and demonstrate your passion for the role.
✨Tip Number 3
Prepare for interviews by brushing up on your probability and statistics knowledge. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to redefine play.
We think you need these skills to ace Junior Sports Quantitative Analyst: Markets & Data in London
Some tips for your application 🫡
Show Your Passion for Sports Analytics:When writing your application, let us see your enthusiasm for sports analytics shine through! Share any relevant projects or experiences that highlight your love for the game and how you’ve used data to make sense of it.
Highlight Your Technical Skills:Make sure to showcase your programming skills in Python and your understanding of probability and statistics. We want to know how you've applied these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific aspects of our mission at Super and how your background aligns with our goals. This shows us you’re genuinely interested in being part of our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Super
✨Brush Up on Your Maths Skills
Since the role involves developing mathematical models, make sure you’re comfortable with probability and statistics. Review key concepts and be ready to discuss how you've applied them in past projects or studies.
✨Show Off Your Python Prowess
As programming skills in Python are crucial for this position, prepare to demonstrate your coding abilities. Consider bringing a small project or example of your work that showcases your skills in data analysis or model development.
✨Know Your Sports Analytics
Familiarise yourself with current trends in sports analytics and betting markets. Be prepared to discuss how you think data can enhance the betting experience and share any insights you have on recent developments in the industry.
✨Prepare Questions for the Team
Interviews are a two-way street! Think of insightful questions to ask about the team’s projects, the technology they use, and how they approach model testing. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
