Sports Trading Analyst

Sports Trading Analyst

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Block MB

At a Glance

  • Tasks: Build advanced statistical models for sports markets and tackle complex mathematical problems.
  • Company: Dynamic sports analytics company with a team from top UK universities.
  • Benefits: Flexible working hours, hybrid model, regular pay reviews, and promotion opportunities.
  • Other info: Collaborate with data scientists and enjoy a culture of ongoing research.
  • Why this job: Join a cutting-edge team and make an impact in the sports analytics world.
  • 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.

  • 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.

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; some exposure to the sports world, even a personal project would be relevant for this!

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.

Sports Trading Analyst employer: Block MB

Join a dynamic sports analytics company that champions innovation and collaboration, where your expertise in quantitative analysis will thrive. With a hybrid working model based in London, you will enjoy flexible hours, regular pay reviews, and ample opportunities for professional growth alongside a team of top-tier talent from prestigious universities. Embrace a culture that values ongoing research and development, making it an ideal environment for those passionate about sports and mathematics.

Block MB

Contact Details:

Block MB Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sports Trading Analyst

Tip Number 1

Network like a pro! Reach out to people 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, especially those related to sports. This will give you an edge and demonstrate your passion for the field.

Tip Number 3

Prepare for interviews by brushing up on your statistical knowledge and Python skills. We recommend practicing common interview questions and even doing mock interviews with friends or mentors to build confidence.

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 Sports Trading Analyst

Quantitative Analysis
Statistical Modelling
Mathematical Modelling
Python
Algorithm Development
Data Science Collaboration
Performance Monitoring

Some tips for your application 🫡

Show Your Passion for Sports:Make sure to highlight your love for sports in your application. Whether it's through personal projects or relevant experiences, we want to see how your passion aligns with our mission at StudySmarter.

Highlight Your Technical Skills:Don’t shy away from showcasing your proficiency in Python and any statistical modelling techniques you've mastered. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to building quantitative models and collaborating with data scientists, as this will make your application stand out.

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 don’t miss out on any important updates during the process!

How to prepare for a job interview at Block MB

Know Your Stats

Brush up on your statistical and mathematical modelling skills. Be ready to discuss specific models you've worked on, especially those relevant to sports analytics. This will show your expertise and passion for the field.

Showcase Your Python Skills

Since Python is your primary modelling tool, prepare to demonstrate your proficiency. Bring examples of projects or code snippets that highlight your ability to build and optimise models. This practical demonstration can set you apart.

Connect with the Team's Vision

Research the company’s recent projects and successes. Be prepared to discuss how your background aligns with their goals and how you can contribute to their ongoing research culture. This shows you're not just interested in the role, but also in the company's mission.

Bring Your Sports Passion

Even if you don't have professional experience in sports, share any personal projects or interests related to sports analytics. This can help you connect with the interviewers and demonstrate your enthusiasm for the industry.