At a Glance
- Tasks: Analyse data and develop advanced models for the sports betting industry.
- Company: Innovative startup transforming the sports betting landscape.
- Benefits: Career progression opportunities and hands-on experience with cutting-edge technologies.
- Other info: Work with advanced statistical methods and machine learning techniques.
- Why this job: Join a dynamic team and make an impact in the exciting world of sports betting.
- Qualifications: 2 years' experience in quantitative research and a strong maths background.
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Researcher is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used for prop trading.
As Quantitative Analyst you will need:
- 2 years’ experience as a quantitative researcher building models within sports betting industry.
- A mathematics-based degree from a top university.
- Expertise in Bayesian statistics, MCMC, and GLMs.
- Knowledge of sports models literature.
- Proficient in SQL and Python/R.
- Experience on the slots casino side is beneficial.
Responsibilities and Duties:
- Analysing, cleaning, and processing raw data.
- Developing, improving, and maintaining ML and statistical models for risk management.
- Analyse data and perform inferences to understand betting markets and customers' behaviour.
The Opportunity:
- Opportunities to progress your quantitative developer career.
- Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system.
Quantitative Researcher employer: Venture Up
Venture Up offers an exceptional work environment for Quantitative Researchers, fostering a culture of innovation and collaboration within a prestigious Oxford hedge fund. Employees benefit from autonomy in their projects, access to advanced analytics tools, and opportunities for professional growth, all while contributing to impactful trading strategies in a dynamic market. The greenfield setting encourages creativity and the exploration of new ideas, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the sports betting and quantitative research fields. Attend industry events, join relevant online forums, and connect with professionals 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 best models and analyses. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss Bayesian statistics, MCMC, and GLMs in detail. Practise coding challenges in Python or R, as they might test your skills during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team in the exciting world of sports betting.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative research, especially in the sports betting industry. We want to see how your skills in Bayesian statistics and model development shine through!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your work with sports models and how you've used SQL and Python/R in your projects.
Showcase Your Analytical Skills:In your application, don’t forget to mention any experience you have with data analysis and machine learning. We love seeing how you’ve tackled complex problems and derived insights from raw data!
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 this exciting opportunity in our innovative team!
How to prepare for a job interview at Venture Up
✨Know Your Numbers
Brush up on your statistical knowledge, especially Bayesian statistics and GLMs. Be ready to discuss how you've applied these concepts in your previous roles, particularly in sports betting models.
✨Showcase Your Coding Skills
Make sure you're comfortable with SQL and Python/R. Prepare to demonstrate your coding abilities during the interview, perhaps by solving a problem or discussing a project where you used these languages.
✨Understand the Market
Familiarise yourself with current trends in the sports betting industry. Be prepared to discuss how you would approach analysing data and interpreting betting markets, showing your insight into customer behaviour.
✨Prepare for Technical Questions
Expect technical questions related to model development and risk management. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to communicate complex ideas.
