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- Tasks: Lead the development of innovative sports betting models using advanced analytics.
- Company: Join a cutting-edge sports betting firm with a top-notch analytics team.
- Benefits: Enjoy hybrid/remote work options and a dynamic work environment.
- Why this job: Be at the forefront of sports analytics and make a real impact in the industry.
- Qualifications: 4+ years in sports betting model development; strong stats and programming skills required.
- Other info: Reach out for more details about the role and package.
The predicted salary is between 43200 - 72000 £ per year.
My client is an advanced sports betting firm with a seriously high performing quantitative analytics and research team. I am looking for a senior quant analyst/data scientist with a strong background in modelling, statistics and sports to join and lead the development of multiple proprietary betting models.
Job Requirements:
- 4+ years' experience (ideally in a syndicate) developing sports betting models from scratch, in any sport
- Strong fundamental understanding of Bayesian statistics, variational inference, filtering techniques, state space and hierarchical models
- Excellent proficiency in any programming language, but with a preference for Python or R
- Strong domain knowledge of the global sporting arena, with particular emphasis on US sports
For more information about the role and package, please reach out to kate.jenkinson@harringtonstarr.com
Senior quantitative analyst - sports syndicate employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior quantitative analyst - sports syndicate
✨Tip Number 1
Make sure to showcase your experience in developing sports betting models, especially if you've worked in a syndicate before. Highlight specific projects or models you've created that demonstrate your expertise and understanding of the sports betting landscape.
✨Tip Number 2
Brush up on your knowledge of Bayesian statistics and other advanced statistical techniques mentioned in the job description. Being able to discuss these concepts confidently during an interview will show your depth of understanding and make you stand out.
✨Tip Number 3
Familiarise yourself with the latest trends and developments in US sports, as well as any recent changes in sports betting regulations. This will not only help you in interviews but also demonstrate your passion for the industry.
✨Tip Number 4
Network with professionals in the sports analytics field, particularly those who work in betting firms or syndicates. Engaging with them can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior quantitative analyst - sports syndicate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing sports betting models, particularly any work you've done in a syndicate. Emphasise your proficiency in programming languages like Python or R and your understanding of Bayesian statistics.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about sports analytics and how your background aligns with the role. Mention specific projects or achievements that demonstrate your expertise in modelling and statistics.
Showcase Relevant Skills: Clearly outline your skills in statistical methods and programming. Provide examples of how you've applied these skills in real-world scenarios, especially in relation to US sports, to show your domain knowledge.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a quantitative analyst role.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Modelling Experience
Be prepared to discuss your previous experience in developing sports betting models. Highlight specific projects where you successfully implemented statistical techniques and the impact they had on outcomes.
✨Demonstrate Statistical Knowledge
Brush up on your understanding of Bayesian statistics and other relevant methodologies. Be ready to explain complex concepts in a simple way, as this will show your depth of knowledge and ability to communicate effectively.
✨Familiarise Yourself with Programming Languages
Since proficiency in Python or R is preferred, ensure you can discuss your experience with these languages. Prepare to talk about specific libraries or frameworks you've used in your modelling work.
✨Stay Updated on Sports Trends
Having strong domain knowledge of the global sporting arena is crucial. Research recent trends, major events, and statistics in US sports to demonstrate your passion and understanding during the interview.
