At a Glance
- Tasks: Use your maths skills to analyse sports betting and develop prediction models.
- Company: Join a global quantitative trading firm at the forefront of sports betting innovation.
- Benefits: Competitive salary, access to cutting-edge technology, and collaboration with industry founders.
- Other info: No up-to-date CV required; multiple positions available for fresh graduates or seasoned pros.
- Why this job: Be part of the future of sports betting and make a real impact in the industry.
- Qualifications: Strong quantitative background in mathematics or statistics; coding experience in Python or Java is a plus.
The predicted salary is between 50000 - 70000 € per year.
Prediction markets is a hot topic right now, use your passion for mathematics, technology and sports and join this growing sports arm of a global quantitative trading firm. A backbone of game theory, you'll have access to a world leading platform here.
You'll provide liquidity to bookmakers, take risk on the centralised sports book and build statistical forecasting models for your specialised area of sports coverage. You’ll be working with the founders across all major sports markets.
You’ll work closely with founders who are capitalising on the use of prediction markets within traditional finance while working collaboratively with the research team to build and use a range of proprietary prediction models and your own intuition for sniffing out trading opportunities. You’ll also appreciate the risk involved so that trades are made with game theory at the heart of them.
Above all else, you’ll need to have a strong quantitative background. There is multiple headcount here so straight from academia with side projects in sports betting or if you're a seasoned professional looking for an enhanced platform to utilise your models would be great. Typically that’ll mean you’ve got a great background in probability and statistics – likely a degree with strong mathematics or statistics content – you’re a Bayesian thinker and to mention it again, you love game theory.
It would be great if you’ve written some code in Python or Java and it would be even better if you’ve had any kind of trading experience, especially if it’s covering EU or UK sports (specific or broad).
Want to be part of the future of sports betting? Tired of being under compensated in sports betting consultancies? Get in touch. No up-to-date CV required.
Quantitative Analyst – Sports betting and prediction markets employer: Saragossa
Join a dynamic and innovative global quantitative trading firm that is at the forefront of the sports betting industry. With a strong emphasis on collaboration and employee growth, you will have the opportunity to work closely with founders and a talented research team, utilising cutting-edge technology and proprietary models to shape the future of prediction markets. Our supportive work culture fosters creativity and encourages you to leverage your passion for mathematics and sports, all while being rewarded competitively for your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst – Sports betting and prediction markets
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend sports betting events, and connect with professionals on LinkedIn. We can’t stress enough how important it is to make those connections – you never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical models or any side projects related to sports betting. We love seeing what you can do, and it gives you a chance to stand out from the crowd when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on game theory and probability concepts. We recommend practising common interview questions related to quantitative analysis and sports betting. The more confident you are, the better you'll perform!
✨Tip Number 4
Don’t hesitate to reach out directly! If you see a role that excites you, drop us a message or connect with someone at the firm. We appreciate enthusiasm and initiative, so let’s get the conversation started!
We think you need these skills to ace Quantitative Analyst – Sports betting and prediction markets
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for sports, mathematics, and technology in your application. Share any relevant projects or experiences that highlight your love for prediction markets and game theory.
Highlight Your Skills:Make sure to showcase your quantitative background clearly. Whether it's your degree in mathematics or statistics or your coding skills in Python or Java, we want to know how you can contribute to our team.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Analyst role. Mention your experience with trading or any side projects related to sports betting.
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 it gets into the right hands quickly!
How to prepare for a job interview at Saragossa
✨Brush Up on Your Game Theory
Make sure you’re well-versed in game theory concepts, as they are central to the role. Prepare to discuss how you've applied these principles in your past projects or studies, especially in relation to sports betting.
✨Showcase Your Quantitative Skills
Be ready to demonstrate your strong background in probability and statistics. Bring examples of your work, whether it’s academic projects or personal side projects, that highlight your quantitative analysis skills.
✨Familiarise Yourself with Prediction Markets
Since prediction markets are a hot topic, do some research on how they function and their applications in finance. Being able to discuss current trends and your insights will show your passion and knowledge in the field.
✨Prepare for Technical Questions
Expect technical questions related to coding, particularly in Python or Java. Brush up on your programming skills and be prepared to solve problems on the spot, showcasing your analytical thinking and coding abilities.
