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- Tasks: Develop sports models for American football, baseball, tennis, and ice hockey.
- Company: Join a dynamic betting syndicate with a startup vibe and established reputation.
- Benefits: Enjoy flexible remote work options and competitive compensation based on expertise.
- Why this job: Be part of a growing team with creative freedom and long-term expansion opportunities.
- Qualifications: Strong quant background required; experience in sports modelling preferred.
- Other info: Opportunity to work on innovative projects in a regulated Asian market.
The predicted salary is between 36000 - 60000 £ per year.
Join my clients quant & data science team in an established firm with startup-style freedom to build sports models.
- Develop American football, baseball, tennis & ice hockey models & more
- Price same-game parlays using advanced stats
- Work with quant engineers on dashboards & implementation
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
Creative autonomy in model development
Growing team with long-term expansion plans
Industry shifts & regulated Asian market entry
Analyst (Remote working) employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst (Remote working)
✨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 during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the sports quant field through platforms like LinkedIn or relevant forums. Engaging with industry experts can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Showcase any personal projects or models you've developed using R or Python. Having tangible examples of your work can set you apart from other candidates and highlight your practical skills in sports modelling.
✨Tip Number 4
Prepare to discuss how you would approach building models for same-game parlays. Being able to articulate your thought process and methodology will demonstrate your analytical skills and creativity, which are crucial for this role.
We think you need these skills to ace Analyst (Remote working)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in sports quant analysis, particularly with American football, baseball, tennis, and ice hockey. Emphasise any previous work with betting syndicates or similar teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports analytics and detail your programming skills in R, Python, or similar languages. Mention specific projects or models you've developed that relate to the role.
Showcase Your Quant Skills: Include examples of your quantitative background, such as your educational qualifications (Bachelor’s/Master’s/PhD) and any relevant coursework or projects. Highlight your ability to work with advanced statistics and model development.
Research the Company: Familiarise yourself with the firm’s approach to sports modelling and their expansion plans. This knowledge will help you tailor your application and demonstrate your genuine interest in joining their team.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Quant Skills
Make sure to highlight your strong quantitative background during the interview. Be prepared to discuss specific projects or models you've worked on, especially those related to sports analytics. This will demonstrate your expertise and relevance to the role.
✨Familiarise Yourself with US Sports
Since the position focuses on American football, baseball, tennis, and ice hockey, it's crucial to show your knowledge of these sports. Brush up on recent trends, statistics, and any relevant news that could impact betting strategies.
✨Demonstrate Programming Proficiency
Be ready to discuss your experience with R, Python, or similar programming languages. You might be asked to solve a problem or explain how you've used these tools in past projects, so practice articulating your thought process clearly.
✨Emphasise Creative Autonomy
The role offers creative freedom in model development, so be prepared to share examples of how you've approached problem-solving in innovative ways. Discuss any unique models you've created and the impact they had on your previous teams or projects.
