At a Glance
- Tasks: Build quantitative models and tackle complex mathematical problems in sports analytics.
- Company: Dynamic sports analytics company with a focus on innovation and collaboration.
- Benefits: Hybrid working, flexible hours, regular pay reviews, and a personal allowance.
- Other info: Exciting career growth opportunities in a supportive and research-driven environment.
- Why this job: Join a team of top graduates and make an impact in the sports industry.
- 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.
Compensation Analyst - Hybrid working employer: Block MB
Join a dynamic sports analytics company that champions innovation and collaboration, offering a unique opportunity for a Compensation Analyst to thrive in a hybrid working environment in London. With a culture that prioritises employee growth through regular pay reviews, promotion opportunities, and a flexible allowance tailored to your needs, you'll be part of a team comprised of top talent from leading UK universities, all while tackling complex mathematical challenges in an exciting field.
StudySmarter Expert Advice🤫
We think this is how you could land Compensation Analyst - Hybrid working
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your quantitative skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! If you've built any models or worked on relevant research, make sure to discuss these during interviews. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Compensation Analyst - Hybrid working
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Compensation Analyst. Highlight your background in statistical and mathematical modelling, and don’t forget to mention any relevant projects or research you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about sports analytics and how your experience makes you a perfect fit for our team. Be sure to mention your proficiency in Python and any collaborative projects you've worked on.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex mathematical and statistical problems in the past. We love seeing how you approach challenges, so don’t hold back on sharing your thought process!
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 to join 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 ready to discuss specific models you've built or worked with, and how they relate 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, prepare 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, be prepared to discuss your experience with it in detail. You might even want to bring along a project or two that showcases your coding skills and how you've applied them in real-world scenarios.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to sports analytics and their future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
