At a Glance
- Tasks: Build quantitative models and tackle complex sports analytics problems.
- Company: Dynamic sports analytics company with a focus on innovation.
- Benefits: Flexible working hours, regular pay reviews, and promotion opportunities.
- Other info: Hybrid working from London with a culture of ongoing research.
- Why this job: Join a team of top graduates and make an impact in sports analytics.
- Qualifications: Strong background in statistical modelling; PhD or equivalent experience preferred.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a sports-focussed Quantitative Analyst that is keen to take the next step in their career and focus on building quantitative models for this sports analytics company. Following the success of their team, they are looking to grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN.
This team works alongside the Data Scientists to build complex algorithms to support the mathematical and statistical problems.
- Own the full life cycle from concept, to research, through to productionisation and performance monitoring.
- Collaborate closely with data scientists and quant researchers to tackle complex mathematical and statistical problems, sharing methods and continuing the culture of ongoing research.
- Strong background in statistical and mathematical modelling.
- Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline.
- Proficient in Python as your primary modelling tool; Hybrid working from London, with flexible working hours.
Various other benefits, including a flexible allowance for you to use how you would prefer. Regular pay reviews and promotion opportunities.
Analyst - Hybrid employer: Block MB
Join a dynamic sports analytics company that champions innovation and collaboration, offering a unique opportunity for growth in the heart of London. With a culture that values ongoing research and development, you will work alongside top-tier professionals from prestigious universities, while enjoying flexible working hours and a range of benefits including regular pay reviews and personal allowances. This is not just a job; it's a chance to make a meaningful impact in the world of sports analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst - Hybrid
✨Tip Number 1
Network like a pro! Reach out to professionals in the sports analytics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and any relevant projects. This is your chance to demonstrate your expertise in Python and statistical modelling, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your mathematical and statistical concepts, and be ready to discuss your past experiences. We recommend practicing common interview questions with a friend or mentor to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analyst - Hybrid
Some tips for your application 🫡
Show Your Passion for Sports Analytics:Make sure to highlight your enthusiasm for sports and how it ties into your analytical skills. We want to see that you’re not just crunching numbers, but that you genuinely care about the impact of your work in the sports world.
Tailor Your CV and Cover Letter:Don’t just send a generic application! We love seeing how your unique experiences align with our needs. Mention specific projects or skills that relate directly to the role of a Quantitative Analyst in sports analytics.
Demonstrate Your Technical Skills:Since proficiency in Python is key, make sure to showcase your coding skills. Include examples of past projects where you’ve used Python for statistical modelling or algorithm development. We want to see what you can bring to the table!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Block MB
✨Know Your Numbers
Brush up on your statistical and mathematical modelling skills. Be prepared to discuss specific models you've built or worked with, and how they apply to sports analytics. This will show your technical prowess and passion for the field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists and quant researchers, be ready to share examples of past collaborations. Highlight how you tackled complex problems as a team and what methods you used to ensure effective communication.
✨Demonstrate Your Python Proficiency
As Python is your primary modelling tool, make sure you can talk about your experience with it in detail. Bring up any projects where you used Python to solve real-world problems, especially in a sports context, to illustrate your hands-on experience.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to sports analytics and their current projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.
