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- Tasks: Join a talented team to analyze large data sets and collaborate with analysts and developers.
- Company: Work with a leading client in central London, known for its excellent working environment.
- Benefits: Enjoy competitive salaries and a supportive office culture.
- Why this job: Perfect for forward-thinkers passionate about sports trading and quantitative analysis.
- Qualifications: PhD or MSc in a quantitative field; sports trading experience is a plus.
- Other info: Office-based role with opportunities for collaboration and innovation.
The predicted salary is between 43200 - 72000 £ 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 PhD level, or 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. Previous experience within the sports trading industry would be beneficial. Skills required: Ideally a PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University or equivalent Proficient in several of the following: Python, C#, C++ Mathematical and statistical Modelling Excellent Mathematical skills Analytic mindset Specific sports trading knowledge is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (Sout…
Sports Trading Quantitative Analyst employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Trading Quantitative Analyst
✨Tip Number 1
Make sure to showcase your analytical skills during the interview. Prepare examples of how you've successfully interpreted and analyzed large data sets in previous roles or projects.
✨Tip Number 2
Familiarize yourself with the latest trends in sports trading. Being able to discuss current events or innovations in the industry can demonstrate your passion and knowledge during conversations with the team.
✨Tip Number 3
Highlight any experience you have with programming languages like Python, C#, or C++. Be ready to discuss specific projects where you utilized these skills, as technical proficiency is crucial for this role.
✨Tip Number 4
Network with professionals in the sports trading field. Attend relevant meetups or online forums to connect with others in the industry, which could lead to valuable insights and potential referrals.
We think you need these skills to ace Sports Trading Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience in sports trading. Emphasize your education, particularly if you have a PhD or MSc in a quantitative subject.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data analysis and sports trading. Mention specific projects or experiences that demonstrate your analytical mindset and proficiency in programming languages like Python or C#.
Highlight Relevant Skills: In your application, clearly list your technical skills, especially in mathematical modeling and programming. If you have any specific knowledge related to sports trading, make sure to include that as well.
Showcase Teamwork and Initiative: Since the role requires both independent work and collaboration, provide examples in your application of how you've successfully worked in teams and taken initiative in past projects.
How to prepare for a job interview at Spectrum IT Recruitment
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with large data sets and how you've used analytical techniques in previous roles. Highlight specific projects where you applied mathematical or statistical modeling.
✨Demonstrate Programming Proficiency
Since proficiency in Python, C#, or C++ is essential, be ready to talk about your coding experience. You might even be asked to solve a coding problem during the interview, so practice common algorithms and data structures.
✨Discuss Sports Trading Knowledge
If you have any experience in sports trading, make sure to bring it up. Discuss how your understanding of the sports industry can contribute to the team's success and provide examples of how you've applied this knowledge in practical scenarios.
✨Emphasize Team Collaboration
This role requires working closely with other analysts and developers. Share examples of how you've successfully collaborated in a team setting, showcasing your ability to communicate complex ideas clearly and work towards common goals.
