At a Glance
- Tasks: Design and build advanced statistical models for sports markets and collaborate with data scientists.
- Company: Exciting sports analytics company with a focus on innovation and collaboration.
- Benefits: Flexible working hours, annual learning budget, and regular pay reviews.
- Other info: Join a team from top UK universities with excellent career growth opportunities.
- Why this job: Shape the future of quantitative modelling in a fresh, impactful role.
- 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.
What will you do?
- Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings.
- 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.
What do you need?
- Strong background in statistical and mathematical modelling. Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline.
- Working knowledge of Monte Carlo simulations, Bayesian methodologies or stochastic modelling.
- Proficient in Python as your primary modelling tool; familiarity with PySpark, Hive, Docker or Kubernetes is advantageous but not essential.
What's in it for you?
- Genuine scope to shape something new. This is a freshly created function, and you'll have real influence over how quantitative modelling is built and delivered within the business.
- A clear 2–3 year+ roadmap with significant company investment behind it.
- Annual learning and development budget.
- 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.
Quantitative Analyst employer: Block MB
Join a dynamic sports analytics company that values innovation and collaboration, where you can shape the future of quantitative modelling in an exciting and rapidly growing field. With a strong emphasis on employee development, you'll benefit from a clear career roadmap, annual learning budgets, and flexible working arrangements in London, all while working alongside a talented team from top universities. Experience a culture that encourages ongoing research and offers regular pay reviews and promotion opportunities, making it an excellent place for ambitious professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative 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 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 modelling and Python, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common quantitative analysis questions and being ready to discuss your thought process in detail.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong background in statistical and mathematical modelling. We want to see how your experience aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your familiarity with Python and any relevant methodologies like Monte Carlo simulations or Bayesian techniques. It’ll show us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team.
How to prepare for a job interview at Block MB
✨Know Your Models Inside Out
Make sure you can discuss your experience with statistical models in detail. Be prepared to explain how you've designed and built models in the past, especially in a sports context. This will show your passion for the role and your understanding of the industry.
✨Brush Up on Technical Skills
Since proficiency in Python is key, ensure you're comfortable discussing your coding experience. You might be asked to solve a problem on the spot, so practice coding challenges related to statistical modelling. Familiarity with tools like PySpark or Docker could give you an edge, so don’t shy away from mentioning any relevant experience.
✨Collaborate and Communicate
This role involves working closely with data scientists and quant researchers, so highlight your teamwork skills. Prepare examples of how you've collaborated on projects in the past, focusing on how you shared methods and tackled complex problems together.
✨Show Enthusiasm for Continuous Learning
The company values ongoing research and development, so express your eagerness to learn and grow. Discuss any recent courses, workshops, or self-study you've undertaken in statistical modelling or related fields. This will demonstrate your commitment to staying at the forefront of the industry.
