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- Tasks: Develop cutting-edge betting solutions using statistical models and high-performance algorithms.
- Company: Join a dynamic team in the heart of London’s innovative betting industry.
- Benefits: Enjoy competitive salary, performance bonuses, health insurance, and gym memberships.
- Other info: Collaborative environment with regular team events and opportunities for growth.
- Why this job: Make an impact in sports analytics while working with passionate professionals.
- Qualifications: Proficiency in Python or R, with experience in football modelling and data analytics.
The predicted salary is between 50000 - 60000 £ per year.
The successful candidate will join a team which develops betting solutions. These betting solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; and performance analysis through back-testing and simulations.
Industry based experience of, and genuine proficiency in, Python or R or a similar programming language is essential. We are specifically looking for someone with industry experience creating football models.
Key Responsibilities- Acquire data from multiple data sources, filtering, cleaning and wrapping.
- Interpret data, analyse results using statistical techniques, and provide reports.
- Identify, analyse, and interpret trends or patterns in complex data sets.
- Work within the team to prioritise business and information needs.
- Identify process improvement opportunities.
- Design, build, test and deliver data processing and automation software.
- Statistical modelling and skills in data analytics.
- Experience creating and implementing football models.
- Strong attention to detail and ability to retain information.
- Adept using analytical programming languages such as R, Python, C++, etc. with at least 2 years commercial experience.
- BSc in mathematics, statistics, computer science, engineering or other quantitative discipline.
- Strong communication and collaboration skills.
- Positive ‘can do’ attitude, and ability to meet deadlines.
- Willingness to learn and adapt to new environments.
- Experience in the financial, betting, or gaming industries is a plus.
- Salary depending on experience.
- Annual discretionary performance bonus.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in everyday and lunch bought in twice a week.
- Free coffee & snacks at the office.
- Regular team events & socials.
Senior Quantitative Specialist- Football employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Specialist- Football
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in football analytics. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your football models and any relevant projects you've worked on. This is your chance to demonstrate your expertise in Python or R, so make it shine. A strong portfolio can set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge and coding skills. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions and think about how you can highlight your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to reflect your passion for football analytics and how you can contribute to our innovative betting solutions.
We think you need these skills to ace Senior Quantitative Specialist- Football
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with football models and any relevant programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about football analytics and how your skills can contribute to our team. Keep it engaging and personal – we love a good story!
Show Off Your Technical Skills: Since we’re all about data and algorithms, make sure to mention your proficiency in Python or R. If you’ve worked on any cool projects or models, give us the details – we’re keen to hear about your hands-on experience!
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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at White Swan Data
✨Know Your Numbers
Brush up on your statistical modelling skills and be ready to discuss specific football models you've created. Be prepared to explain the methodologies you used and how they impacted decision-making in previous roles.
✨Show Off Your Coding Skills
Since proficiency in Python or R is essential, make sure you can demonstrate your coding abilities. Bring examples of your work or be ready to solve a coding challenge during the interview. Practice explaining your code clearly and concisely.
✨Data Storytelling
Prepare to interpret complex data sets and share insights from your analyses. Think about how you can present trends or patterns in a way that’s engaging and easy to understand. Use real-world examples to illustrate your points.
✨Team Player Mindset
Highlight your collaboration skills and willingness to learn. Be ready to discuss how you've worked within a team to prioritise business needs and identify process improvements. Show that you’re adaptable and have a positive attitude towards challenges.