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- Tasks: Join a dynamic team to refine predictive models and tackle unique challenges in football analytics.
- Company: Work with a leading sports analytics firm known for impactful insights in betting and football.
- Benefits: Competitive salary between £65,000-£75,000 and the chance to work with cutting-edge data.
- Why this job: Combine your passion for football with advanced analytics in a collaborative environment.
- Qualifications: 3+ years in predictive modeling, strong Python and SQL skills, and a love for sports analytics.
- Other info: Opportunity to innovate and implement solutions in a fast-paced industry.
The predicted salary is between 65000 - 75000 £ per year.
Sports Quant Analyst – Modeler
Bases salary between £65,000-£75,000
I am working with a leading Sports analytics firm seeking a talented Quantitative Analyst to join their prediction team. My client has been at the forefront of combining advanced predictive modeling, expert analysis, and proprietary datasets to deliver impactful insights to their partners in the betting and football industries.
About the Role
In this position, you will work with extensive datasets to refine predictive models, explore new methodologies, and implement innovative solutions. This role requires an analytical mindset, creativity, and the ability to adapt traditional modeling approaches to solve unique challenges in football analytics.
You’ll collaborate with a team of skilled quants, developers, and analysts, blending technical expertise with football domain knowledge.
Key Requirements
- 3+ years of experience in predictive modeling, machine learning, and probability theory, ideally in sports or betting.
- Strong proficiency in Python and SQL.
- Familiarity with modeling techniques such as Monte Carlo simulation, Bayesian methods, and time series forecasting.
- Strong understanding of expected value and utility principles.
- Passion for football and sports analytics.
If you have any questions or wish to apply directly please contact
Quantitative Analyst - Modeler employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Modeler
✨Tip Number 1
Make sure to showcase your experience with predictive modeling and machine learning in your conversations. Highlight specific projects where you've successfully applied these techniques, especially in a sports or betting context.
✨Tip Number 2
Familiarize yourself with the latest trends in football analytics. Being able to discuss recent developments or innovative methodologies can set you apart during interviews and demonstrate your passion for the field.
✨Tip Number 3
Network with professionals in the sports analytics community. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss your technical skills in Python and SQL in detail. Be ready to explain how you've used these tools in past projects, as practical examples will demonstrate your proficiency and problem-solving abilities.
We think you need these skills to ace Quantitative Analyst - Modeler
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key requirements. Highlight your experience in predictive modeling, machine learning, and your passion for sports analytics in your application.
Tailor Your CV: Customize your CV to emphasize relevant experience, particularly in Python, SQL, and any specific modeling techniques mentioned, such as Monte Carlo simulation or Bayesian methods. Use quantifiable achievements to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical mindset and creativity. Discuss how you can adapt traditional modeling approaches to tackle unique challenges in football analytics, and express your enthusiasm for the role and the company.
Proofread and Submit: Before submitting your application, carefully proofread all documents for errors and clarity. Ensure that your application is complete and accurately reflects your qualifications. Submit your application through our website for consideration.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've applied predictive modeling techniques, especially in sports or betting contexts.
✨Demonstrate Your Analytical Mindset
Prepare to explain your approach to solving complex problems using data. Discuss any innovative methodologies you've implemented and how they improved your predictive models.
✨Connect with Football Analytics
Express your passion for football and how it drives your work in analytics. Share examples of how your love for the sport has influenced your analytical decisions or projects.
✨Familiarize Yourself with Key Concepts
Brush up on key concepts like Monte Carlo simulation, Bayesian methods, and time series forecasting. Be ready to discuss how you’ve used these techniques in past roles or how you would apply them in this position.
