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- Tasks: Develop cutting-edge betting solutions using statistical models and high-performance algorithms.
- Company: Join a dynamic team in the exciting world of sports betting.
- Benefits: Competitive salary, performance bonuses, health insurance, gym membership, and free meals.
- Other info: Enjoy a collaborative environment with regular team events and excellent career growth opportunities.
- Why this job: Make an impact in the football industry with your analytical skills and creativity.
- Qualifications: Experience in Python or R, with a focus on football models and data analytics.
The predicted salary is between 50000 - 70000 £ 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.
Skills, Knowledge and Expertise
- 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.
Benefits
- 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 every day and lunch bought in twice a week.
- Free coffee & snacks at the office.
- Regular team events & socials.
Senior Quantitative Specialist- Football in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the betting and football modelling space. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your football models and any relevant projects. This is your chance to demonstrate your expertise in Python or R. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge and coding skills. Practice explaining your thought process when analysing data or building models. We want to see that ‘can do’ attitude shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team. So, go ahead and hit that apply button!
We think you need these skills to ace Senior Quantitative Specialist- Football in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python or R, especially in creating football models. We want to see how your skills can contribute to our team, so don’t hold back!
Be Data-Driven: When discussing your past projects, focus on the data! Share how you acquired, cleaned, and interpreted data, and any statistical techniques you used. This will show us you know your stuff.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor them to reflect the key responsibilities and skills mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
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 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 betting solutions.
✨Showcase Your Coding Skills
Make sure you can demonstrate your proficiency in Python or R during the interview. Consider preparing a small coding challenge or example project that highlights your ability to automate processes and manipulate data effectively.
✨Data Storytelling
Practice explaining complex data sets and trends in a simple, engaging way. The interviewers will want to see how you interpret data and communicate findings, so think of examples where your insights led to actionable outcomes.
✨Team Player Mindset
Highlight your collaboration skills and willingness to learn. Share experiences where you worked within a team to solve problems or improve processes, as this role requires prioritising business needs alongside technical expertise.