Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and develop models to enhance sports trading strategies.
- Company: Leading recruitment agency in the heart of London.
- Benefits: Competitive salary and a vibrant working environment.
- Why this job: Combine your passion for sports with data analysis in a dynamic team.
- Qualifications: MSc in a quantitative field and programming skills in Python and C#.
- Other info: Ideal for sports enthusiasts looking to make an impact.
The predicted salary is between 43200 - 72000 £ per year.
A leading recruitment agency is seeking a Senior Quantitative Analyst to join a talented team in central London. The candidate should have an MSc in a quantitative field and strong skills in data analysis, statistical understanding, and programming languages including Python and C#.
An interest in sports, particularly football or cricket, is beneficial. This office-based role comes with competitive salaries and a great working environment.
Senior Sports Trading Quant | Data-Driven Analyst in London employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sports Trading Quant | Data-Driven Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports trading and data analysis fields. Use LinkedIn to connect with professionals and join relevant groups. You never know who might have the inside scoop on job openings!
✨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 programming skills in Python and C#. Be ready to discuss your statistical understanding and how it applies to real-world scenarios in sports trading. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Senior Sports Trading Quant | Data-Driven Analyst in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your MSc and any relevant experience in data analysis and programming. We want to see how your skills in Python and C# can contribute to our team!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect your interest in sports, especially football or cricket. It’ll show us you’re genuinely excited about the role.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point.
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 you don’t miss out on any important updates!
How to prepare for a job interview at Spectrum IT Recruitment
✨Know Your Numbers
Brush up on your data analysis skills and be ready to discuss specific projects where you've used statistical methods. Make sure you can explain your thought process and the impact of your work, especially in relation to sports data.
✨Programming Proficiency
Since programming languages like Python and C# are key for this role, prepare to showcase your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms or data manipulation tasks beforehand.
✨Show Your Passion for Sports
Having an interest in sports, particularly football or cricket, can set you apart. Be prepared to discuss your favourite teams, recent matches, or how data analytics is changing the game. This shows you're not just a numbers person but also genuinely interested in the field.
✨Cultural Fit Matters
Research the company culture and values. Think about how your personal values align with theirs and be ready to share examples of how you've contributed to a positive team environment in the past. This can really help you stand out as a candidate.
