At a Glance
- Tasks: Build quantitative models and tackle complex mathematical problems in sports analytics.
- Company: Dynamic sports analytics company with a team from top UK universities.
- Benefits: Flexible working hours, regular pay reviews, and a personal allowance for your needs.
- Other info: Hybrid working from London with excellent career growth opportunities.
- Why this job: Join a cutting-edge team and make an impact in the world of 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 in London employer: Block MB
Join a leading sports analytics company that champions innovation and collaboration, offering a dynamic work culture where your contributions are valued. With a focus on employee growth, you will have access to regular pay reviews, promotion opportunities, and a flexible working environment in London, allowing you to thrive both personally and professionally. Embrace the chance to work alongside top-tier talent from prestigious universities, all while enjoying a flexible allowance tailored to your needs.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst - Hybrid in London
✨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 statistical and mathematical modelling, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your approach to tackling complex problems. We recommend practising common interview questions related to data science and quantitative analysis.
✨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 in London
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 your technical prowess!
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 together and what methods you shared to enhance the team's research culture.
✨Demonstrate Your Python Proficiency
As Python is your primary modelling tool, come prepared to discuss your experience with it. You might even want to mention specific libraries or frameworks you've used in your projects, as this will demonstrate your hands-on expertise.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects or future goals in sports analytics. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
