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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 who love data and want to make an impact in sports trading.
- Qualifications: PhD or MSc in Mathematics, Statistics, Data Science, Computer Science, or Physics required.
- Other info: Ideal candidates will have experience in sports trading and proficiency in Python, C#, or C++.
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. 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 (url removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. #J-18808-Ljbffr
Quantitative Analyst employer: CV Library
Contact Detail:
CV Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 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 specific programming languages mentioned in the job description, especially Python, C#, and C++. Consider working on a small project or two to demonstrate your proficiency.
✨Tip Number 3
If you have any experience in sports trading, be ready to discuss it in detail. Highlight how this experience can contribute to the role and the team’s success.
✨Tip Number 4
Research the company culture and values of the client. Be prepared to explain how your personal values align with theirs, as cultural fit is often just as important as technical skills.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your educational background, especially if you have a PhD or MSc in Mathematics, Statistics, Data Science, Computer Science, or Physics. Emphasize any relevant experience with large data sets and programming languages like Python, C#, or C++.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative analysis and your ability to work both independently and as part of a team. Mention any specific experience you have with sports trading, as this is beneficial for the role.
Showcase Analytical Skills: Provide examples in your application that demonstrate your analytical mindset and mathematical skills. This could include projects or experiences where you successfully interpreted and analyzed large data sets.
Highlight Relevant Experience: If you have any experience in sports trading or related fields, make sure to highlight this in your application. It can set you apart from other candidates and show your understanding of the industry.
How to prepare for a job interview at CV Library
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've interpreted and analyzed large data sets in the past. Highlight your analytical mindset and any relevant projects that demonstrate your proficiency in mathematical and statistical modeling.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills, especially in Python, C#, and C++. Be ready to answer technical questions or even solve coding problems during the interview to showcase your expertise.
✨Highlight Team Collaboration
Since the role involves working closely with other analysts and developers, emphasize your ability to work in a team. Share experiences where you successfully collaborated on projects and how you contributed to achieving common goals.
✨Discuss Sports Trading Knowledge
If you have any experience or knowledge in sports trading, make sure to bring it up during the interview. This could set you apart from other candidates and show your passion for the industry.
