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- Tasks: Build and improve sports prediction models using terabytes of data.
- Company: Join a leading provider of sports betting brokerage software based in London.
- Benefits: Enjoy flexible working hours and opportunities for career progression.
- Why this job: Be part of a dynamic team testing hypotheses in live markets while pursuing your passion for sports.
- Qualifications: Postgraduate qualifications in statistics preferred; a keen interest in sports is essential.
- Other info: Hybrid working model allows for a balanced work-life experience.
The predicted salary is between 28800 - 48000 £ per year.
Graduate/Junior Quantitative Analyst is required for one of the leading providers of sports betting brokerage software in the world. The company is based in London and offers flexible working hours. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company to test their hypotheses in a live environment.
As Graduate Quantitative Analyst you will need:
- An interest in sports or competitive games
- Postgraduate qualifications in statistics are preferred.
Your day-to-day duties and responsibilities will include, but won’t be limited to:
- Building and improving sports prediction models
- Researching recent advances in Bayesian updating to better extract signals from noisy data
- Opportunities to progress your quantitative developer career
Compensation Analyst - Hybrid working employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Compensation Analyst - Hybrid working
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics and betting models. Understanding how data is used to predict outcomes in sports can give you a significant edge during interviews.
✨Tip Number 2
Brush up on your statistical skills, especially Bayesian methods. Being able to discuss recent advances in these areas will demonstrate your commitment and knowledge in the field.
✨Tip Number 3
Network with professionals in the sports betting industry. Attend relevant meetups or webinars to connect with others and learn more about the role and company culture.
✨Tip Number 4
Prepare to discuss real-world applications of your analytical skills. Think of examples where you've successfully used data to solve problems or improve processes, as this will showcase your practical experience.
We think you need these skills to ace Compensation Analyst - Hybrid working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience or skills related to quantitative analysis and sports betting. Emphasise your postgraduate qualifications in statistics and any projects that demonstrate your ability to work with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and competitive games. Discuss how your academic background and any practical experience make you a suitable candidate for the role. Mention your interest in Bayesian updating and how it relates to the position.
Showcase Relevant Skills: When filling out your application, highlight specific skills that are relevant to the job, such as data analysis, statistical modelling, and programming languages you are proficient in. This will help demonstrate your capability to build and improve sports prediction models.
Proofread Your Application: Before submitting your application, take the time to proofread everything. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a quantitative analyst.
How to prepare for a job interview at Venture Up
✨Show Your Passion for Sports
Since the role involves sports betting, it's crucial to demonstrate your genuine interest in sports or competitive games. Be prepared to discuss your favourite sports, teams, or any relevant experiences that showcase your enthusiasm.
✨Highlight Your Statistical Skills
With a preference for postgraduate qualifications in statistics, make sure to emphasise your academic background and any relevant projects. Discuss specific statistical methods or tools you are familiar with, especially those related to Bayesian updating.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and quantitative modelling. Brush up on your knowledge of building prediction models and be ready to explain your thought process when tackling complex data problems.
✨Demonstrate Problem-Solving Abilities
The company values quick experimentation and hypothesis testing. Prepare examples from your past experiences where you successfully solved problems using data-driven approaches, showcasing your analytical thinking and adaptability.
