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For Companies At a Glance
- Tasks: Analyse large data sets and collaborate with a talented team.
- Company: Join a leading client in central London focused on sports trading.
- Benefits: Enjoy competitive salaries and a fantastic working environment.
- Why this job: Perfect for those passionate about data and sports, with a collaborative culture.
- Qualifications: MSc in Mathematics, Statistics, Data Science, Computer Science or Physics preferred.
- Other info: Office-based role; sports trading experience is a plus.
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.
Skills required:- Ideally a MSc in Mathematics, Statistics, Data Science, Computer Science or Physics from a strong University from across Europe.
- Proficient in several of the following: Python, MATLAB, C#, C++, Java
- Mathematical Modelling
- Excellent Mathematical skills
- Analytic mindset
- Specific sports trading (soccer, cricket) knowledge is beneficial
If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment.
Quantitative Analyst - Sports Trading employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Sports Trading
✨Tip Number 1
Familiarise yourself with the latest trends in sports trading and analytics. Understanding how data is used to make decisions in sports can give you an edge during interviews.
✨Tip Number 2
Network with professionals in the sports trading industry. Attend relevant meetups or webinars to connect with others who can provide insights or even refer you to opportunities.
✨Tip Number 3
Brush up on your programming skills, especially in Python and MATLAB. Consider working on personal projects or contributing to open-source projects to showcase your abilities.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and mathematical modelling questions. Being able to demonstrate your analytical mindset will be crucial in impressing the hiring team.
We think you need these skills to ace Quantitative Analyst - Sports Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your educational background in quantitative subjects like Mathematics or Data Science. Emphasise any relevant experience, particularly in sports trading, and showcase your proficiency in programming languages such as Python or MATLAB.
Craft a Strong Cover Letter: In your cover letter, express your passion for data analysis and sports trading. Mention specific projects or experiences that demonstrate your analytical skills and ability to work both independently and as part of a team.
Highlight Relevant Skills: Clearly list your technical skills, especially those mentioned in the job description, such as mathematical modelling and programming languages. Use examples to illustrate how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally.
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 mathematical modelling. Bring examples of projects where you've successfully interpreted large data sets, as this will demonstrate your capability in a quantitative role.
✨Demonstrate Your Programming Proficiency
Familiarise yourself with the programming languages mentioned in the job description, such as Python or MATLAB. Be ready to discuss specific projects or challenges you've tackled using these languages, as practical knowledge is key.
✨Highlight Your Sports Knowledge
If you have any experience in sports trading, especially in soccer or cricket, make sure to mention it. Discuss how your understanding of these sports can contribute to your role as a Quantitative Analyst.
✨Prepare for Teamwork Questions
Since the role involves working closely with other analysts and developers, be ready to share examples of successful teamwork. Highlight your ability to collaborate and communicate effectively within a team setting.
