Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse large data sets and collaborate with a talented team on sports trading.
- Company: Exciting client in central London with a passion for sports and data.
- Benefits: Competitive salary and a fantastic working environment.
- Why this job: Combine your love for sports with data analysis to make an impact.
- Qualifications: MSc in a quantitative subject and proficiency in programming languages.
- Other info: Ideal for those who thrive in a dynamic, collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.
Responsibilities
- Interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
- Work independently and as part of a small, talented team.
Qualifications
- MSc (or higher) in Mathematics, Statistics, Computer Science or Physics (or equivalent).
- Proficiency in several of the following: Python, C#, C++, Java.
- Mathematical modelling; strong understanding of probabilities and statistics.
- Analytic mindset; strong communication skills; accuracy and attention to detail.
- Experience in data science.
- Interest in sports (ideally football or cricket).
- Knowledge of sports betting/trading would be beneficial.
How to apply
If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment.
Sports Trading Quantitative Analyst employer: Spectrum IT
Contact Detail:
Spectrum IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Trading Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the sports trading and quantitative analysis fields. Use LinkedIn to connect with professionals, join relevant groups, and engage in discussions. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to sports. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and knowledge of sports betting. Be ready to discuss how you would approach analysing large data sets and solving real-world problems in the sports industry.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, we’re always on the lookout for passionate individuals like you to join our team!
We think you need these skills to ace Sports Trading Quantitative Analyst
Some tips for your application 🫡
Show Your Passion for Sports: Make sure to highlight your love for sports in your application. Whether it's football, cricket, or any other sport, let us know how your passion drives your analytical skills and understanding of the industry.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the role. Focus on your quantitative background and any relevant projects or experiences that showcase your ability to handle large data sets.
Highlight Technical Skills: Don’t forget to mention your proficiency in programming languages like Python, C#, or Java. We want to see how you can apply these skills in a practical setting, so include examples where possible!
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 it gets into the right hands quickly. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Spectrum IT
✨Know Your Data
Make sure you brush up on your data analysis skills. Be prepared to discuss how you've interpreted and filtered large data sets in the past. Think of specific examples where your analytical mindset made a difference, especially in a sports context.
✨Show Your Passion for Sports
Since this role is all about sports trading, it’s crucial to demonstrate your passion for sports. Be ready to talk about your favourite sports, teams, or any relevant experiences you have with sports betting or trading. This will show that you’re not just a numbers person but also someone who genuinely cares about the industry.
✨Highlight Your Technical Skills
Familiarise yourself with the programming languages mentioned in the job description, like Python or C#. Be prepared to discuss projects where you’ve used these skills, and if possible, bring along examples of your work. This will help you stand out as a candidate who can hit the ground running.
✨Team Player Mindset
This role requires collaboration with other analysts and developers, so be ready to share experiences where you’ve successfully worked in a team. Highlight your communication skills and how you contribute to a positive team environment. It’s all about showing that you can thrive both independently and as part of a talented group.
