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- Tasks: Join a high-performing team to build predictive models for football.
- Company: Be part of a leading systematic sports trading syndicate in London.
- Benefits: Work onsite in a dynamic environment with a talented team.
- Why this job: Make an impact in sports analytics while collaborating with experts.
- Qualifications: Must have 2+ years of experience in football modeling, preferably in Europe.
- Other info: Ideal for those passionate about data science and sports.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Football Modeller,
Onsite, London
I work with a large systematic sports trading syndicate looking for experienced football modellers to join their quant team.
They are a small but very high performing group of hands on technical engineers, data scientists and quantitative modellers operating across multiple sports and sectors.
You will need at least 2 years' work experience building predictive models within football, ideally in the European market.
If this sounds like you, please apply here or reach out to
Quantitative Football Modeller employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Football Modeller
✨Tip Number 1
Make sure to showcase your experience with predictive modeling in football during any networking opportunities. Engage with professionals in the industry, attend relevant events, and discuss your insights on European football data.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in sports analytics. Being knowledgeable about cutting-edge tools and methodologies can set you apart from other candidates.
✨Tip Number 3
Consider contributing to online forums or communities focused on sports modeling. Sharing your expertise and engaging with others can help you build a network that may lead to job opportunities.
✨Tip Number 4
If possible, create a portfolio of your previous work in football modeling. Demonstrating your practical experience and results can significantly enhance your candidacy when applying for this role.
We think you need these skills to ace Quantitative Football Modeller
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in building predictive models specifically within football. Detail any projects or roles that showcase your expertise, especially in the European market.
Showcase Technical Skills: List the technical skills and tools you are proficient in that are relevant to quantitative modelling. This could include programming languages, statistical software, or data analysis techniques that you have used in your previous roles.
Tailor Your CV: Customize your CV to align with the job description. Use keywords from the job posting to ensure your application stands out and demonstrates that you meet the specific requirements of the role.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for football and quantitative modelling. Explain why you want to join this particular team and how you can contribute to their success.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Experience
Be prepared to discuss your previous work experience in building predictive models, especially within football. Highlight specific projects you've worked on and the impact they had on decision-making.
✨Understand the European Market
Since the role focuses on the European market, make sure you are familiar with its dynamics. Brush up on recent trends, key teams, and player statistics that could influence model predictions.
✨Demonstrate Technical Skills
Expect technical questions related to data analysis and modeling techniques. Be ready to explain your approach to problem-solving and the tools you use, such as Python or R.
✨Prepare for Team Dynamics
As part of a small, high-performing team, it's crucial to show that you can collaborate effectively. Think of examples where you've worked in a team setting and how you contributed to achieving common goals.
