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- Tasks: Join a new quant team analyzing sports data and trading strategies.
- Company: Be part of a leading sports trading business with a global reach.
- Benefits: Enjoy a competitive salary, bonus potential, and hybrid work options.
- Why this job: Work with top technologists in a dynamic environment focused on sports analytics.
- Qualifications: BSc in STEM or quantitative field; strong stats and Python/R skills required.
- Other info: Remote work available for experienced candidates; no sponsorship offered.
The predicted salary is between 43200 - 72000 £ per year.
Sports Quant Analyst Hybrid – London We are looking for candidates with experience in a quant analytics or trading role, ideally within sports. Exceptional candidates from a financial background will also be considered. This is a unique opportunity to join a leading sports trading business, working within a newly formed quant team. You’ll be part of a highly skilled group of technologists with extensive experience, operating across various sports and geographies. The role offers a highly competitive base salary with strong bonus potential. Hybrid or remote working is available for those with significant experience in sports trading. Requirements: Minimum BSc in a STEM or quantitative discipline (2:1 or above) Strong statistical and modelling expertise, with proficiency in Python or R Prior experience in sports modelling in a professional setting is highly preferred Unfortunately, sponsorship is not available for this role. Please contact lucia.paolinelli@harringtonstarr.com.
Sports Quant Analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Quant Analyst
✨Tip Number 1
Make sure to showcase your experience in quant analytics or trading, especially if it's related to sports. Highlight any specific projects or models you've worked on that demonstrate your expertise in this area.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in sports trading. Being knowledgeable about current developments can help you stand out during discussions with our team.
✨Tip Number 3
Network with professionals in the sports trading industry. Attend relevant events or join online forums to connect with others who share your interests and may have insights into our company culture.
✨Tip Number 4
Prepare to discuss your proficiency in Python or R in detail. Be ready to explain how you've used these tools in your previous roles, particularly in relation to statistical modeling and data analysis.
We think you need these skills to ace Sports Quant Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any previous experience in quant analytics or trading roles, especially within the sports sector. Use specific examples to demonstrate your expertise and how it aligns with the job requirements.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python or R. Include any relevant projects or applications where you utilized these skills, particularly in statistical modeling or data analysis.
Tailor Your CV: Customize your CV to reflect the qualifications and experiences that are most relevant to the Sports Quant Analyst position. Highlight your educational background in STEM or quantitative disciplines, ensuring to mention your degree classification.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also connects your background in quant analytics with the specific needs of the sports trading business. Mention your understanding of the industry and how you can contribute to the newly formed quant team.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with statistical modeling and data analysis. Highlight specific projects where you've used Python or R to solve complex problems, especially in a sports context.
✨Demonstrate Industry Knowledge
Research the latest trends in sports trading and analytics. Be ready to discuss how these trends could impact the business and how your skills can contribute to their success.
✨Prepare for Technical Questions
Expect technical questions that assess your quantitative abilities. Brush up on key concepts in statistics and modeling, and practice coding challenges in Python or R to demonstrate your proficiency.
✨Cultural Fit and Team Dynamics
Since you'll be joining a newly formed quant team, emphasize your ability to work collaboratively. Share examples of how you've successfully worked in teams and contributed to a positive team environment.
