At a Glance
- Tasks: Build quantitative models and tackle complex sports analytics problems.
- Company: Dynamic sports analytics company with a team from top UK universities.
- Benefits: Flexible working hours, regular pay reviews, and a personal allowance.
- Other info: Collaborative environment with opportunities for career growth.
- Why this job: Join a cutting-edge team 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.
Analysis Analyst employer: Block MB
Join a dynamic sports analytics company that champions innovation and collaboration, where your expertise as a Quantitative Analyst will be valued and nurtured. With a strong emphasis on employee growth, you will benefit from regular pay reviews, flexible working hours, and a unique allowance to tailor your work experience. Located in London, you'll be part of a diverse team of top-tier professionals dedicated to pushing the boundaries of mathematical modelling in the exciting world of sports.
StudySmarter Expert Advice🤫
We think this is how you could land Analysis Analyst
✨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 job.
✨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 interviews by brushing up on your Python skills and understanding the latest trends in sports analytics. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analysis Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Quantitative Analyst. Highlight your experience in statistical and mathematical modelling, and don’t forget to mention any relevant projects or research that showcase your skills.
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 background aligns with our team’s goals. Be genuine and let your enthusiasm for the role come through.
Showcase Your Technical Skills:Since proficiency in Python is key, make sure to include specific examples of how you've used it in your previous work. Whether it's building models or analysing data, 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’s super easy!
How to prepare for a job interview at Block MB
✨Know Your Numbers
As a Quantitative Analyst, you'll need to demonstrate your strong background in statistical and mathematical modelling. Brush up on key concepts and be ready to discuss specific models you've worked on. Prepare to explain your thought process and how you approach complex problems.
✨Showcase Your Python Skills
Since Python is your primary modelling tool, make sure you're comfortable discussing your experience with it. Bring examples of projects where you've used Python for data analysis or model building. If possible, prepare to solve a coding challenge during the interview to showcase your proficiency.
✨Collaborate and Communicate
This role involves working closely with data scientists and quant researchers. Be prepared to discuss how you collaborate with others and share methods. Highlight any past experiences where teamwork led to successful outcomes, and show that you're open to ongoing research and learning.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
