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For Companies At a Glance
- Tasks: Develop sports models for American football, baseball, tennis, and ice hockey.
- Company: Join a dynamic betting syndicate with a startup vibe in London.
- Benefits: Enjoy hybrid/remote work options and competitive compensation.
- Why this job: Experience creative freedom and be part of a growing team in an evolving industry.
- Qualifications: Strong quant background; experience in sports modelling preferred.
- Other info: Opportunity to work with advanced stats and innovative technologies.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (Hybrid/Remote Possible)
Compensation: Competitive, flexible for domain expertise
Join my clients quant & data science team in an established firm with startup-style freedom to build sports models.
Role Overview
- Develop American football, baseball, tennis & ice hockey models & more
- Price same-game parlays using advanced stats
- Apply Bayesian inference, filtering & mathematical modeling
- Work with quant engineers on dashboards & implementation
Ideal Candidate
- Strong quant background (Bachelor’s/Master’s; PhD a plus)
- Experience in syndicate or sports quant teams
- Expertise in US sports modeling preferred
- R, Python, or similar programming proficiency
Why Join?
- Creative autonomy in model development
- Growing team with long-term expansion plans
- Industry shifts & regulated Asian market entry
Interested? Get in touch!
Quant analyst - sports employer: MindMatch
Contact Detail:
MindMatch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant analyst - sports
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics, especially focusing on American football, baseball, tennis, and ice hockey. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the sports quant field. Attend industry events or webinars where you can meet people who work in similar roles. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in R and Python. Consider working on personal projects or contributing to open-source projects that involve sports data analysis to showcase your abilities and passion for the field.
✨Tip Number 4
Prepare to discuss your experience with Bayesian inference and mathematical modelling in detail. Be ready to explain how you've applied these techniques in past projects, as this will demonstrate your expertise and suitability for the role.
We think you need these skills to ace Quant analyst - sports
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific requirements of a Sports Quant Analyst. Highlight your experience in developing models for American football, baseball, tennis, and ice hockey in your application.
Showcase Your Skills: Emphasise your quantitative background and any relevant programming skills, particularly in R or Python. Provide examples of past projects or models you've developed that demonstrate your expertise.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. Make sure to include any experience in syndicate or sports quant teams, as well as your educational qualifications.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your interest in the role but also explains why you are a great fit. Mention your passion for sports analytics and how you can contribute to the team's growth and success.
How to prepare for a job interview at MindMatch
✨Showcase Your Quant Skills
Make sure to highlight your strong quantitative background during the interview. Be prepared to discuss your experience with statistical modelling and any relevant projects you've worked on, especially in sports analytics.
✨Demonstrate Programming Proficiency
Since programming skills in R, Python, or similar languages are essential for this role, be ready to talk about your coding experience. You might even be asked to solve a problem or demonstrate your coding skills, so brush up on your technical knowledge.
✨Understand the Sports Landscape
Familiarise yourself with American football, baseball, tennis, and ice hockey. Being able to discuss recent trends, statistics, and how they impact betting models will show your passion and understanding of the industry.
✨Prepare Questions About Model Development
Since the role involves creative autonomy in model development, prepare insightful questions about their current models and future projects. This shows your interest in contributing to their team and helps you gauge if the company aligns with your career goals.
