At a Glance
- Tasks: Analyse large data sets and collaborate with a talented team of analysts.
- Company: Join a dynamic client in central London, known for its excellent working environment.
- Benefits: Enjoy competitive salaries and a vibrant office culture.
- Why this job: Perfect for forward-thinkers passionate about sports and data analysis.
- Qualifications: MSc in Mathematics, Statistics, Data Science, Computer Science or Physics preferred.
- Other info: Experience in sports trading is a plus; proficiency in programming languages like Python and MATLAB is essential.
The predicted salary is between 36000 - 60000 £ per year.
Excellent opportunity for a passionate Quantitative Analyst 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, Data Science, Computer Science or Physics. Any sports trading experience would be beneficial.
This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.
- Ideally a MSc in Mathematics, Statistics, Data Science, Computer Science or Physics from a strong University from across Europe.
- Python, MATLAB, C#, C++, Java
- Mathematical Modelling
- Specific sports trading (soccer, cricket) knowledge is beneficial
Sports Analyst employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics. Understanding how data is used in sports trading, especially in soccer and cricket, will give you an edge during interviews.
✨Tip Number 2
Brush up on your programming skills, particularly in Python and MATLAB. Being able to demonstrate your coding abilities through practical examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the sports analytics field. Attend relevant meetups or webinars to connect with others and gain insights that could be beneficial for your application.
✨Tip Number 4
Prepare to discuss your experience with large data sets. Be ready to share specific examples of how you've interpreted and analysed data in previous roles or projects.
We think you need these skills to ace Sports Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience. Emphasise any projects or roles where you've worked with large data sets, particularly in sports trading if applicable.
Craft a Strong Cover Letter: In your cover letter, express your passion for sports analysis and your understanding of the role. Mention specific programming languages you are proficient in, such as Python or MATLAB, and how they relate to the job.
Showcase Relevant Experience: If you have any experience in sports trading or related fields, make sure to include it. Discuss any specific sports knowledge you possess, especially in soccer or cricket, as this could set you apart from other candidates.
Highlight Educational Background: Clearly state your educational qualifications, especially if you hold an MSc in a quantitative subject. Mention the university you attended and any relevant coursework that aligns with the job requirements.
How to prepare for a job interview at Spectrum IT Recruitment
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and quantitative methods. Bring examples of projects where you've successfully interpreted large data sets, as this will demonstrate your capability to handle the responsibilities of the role.
✨Demonstrate Team Collaboration
Since the role involves working closely with other analysts and developers, highlight your teamwork experiences. Share specific instances where you contributed to a team project, showcasing your ability to collaborate effectively.
✨Familiarise Yourself with Sports Trading
If you have any experience or knowledge in sports trading, especially in soccer or cricket, make sure to mention it. This could set you apart from other candidates and show your passion for the industry.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python, MATLAB, C#, C++, and Java. Brush up on your coding skills and be ready to solve problems on the spot, as this will demonstrate your technical proficiency.