At a Glance
- Tasks: Build and deploy predictive models for football outcomes using advanced statistics.
- Company: Smartodds, a supportive and collaborative analytics company in North London.
- Benefits: Ongoing professional development and a culture that values reproducible research.
- Other info: Join a dynamic team focused on innovation and growth in sports analytics.
- Why this job: Combine your passion for football with data science to make impactful predictions.
- Qualifications: Strong research experience in football analytics and coding skills.
The predicted salary is between 31500 - 38500 £ per year.
Smartodds is hiring a Quantitative Analyst - Football in North London.
You will build and deploy predictive models for football outcomes, combining rigorous statistics with production-grade code in a collaborative setting.
The role emphasizes reproducible research, high test coverage, and ongoing professional development within a supportive, open culture.
Applicants with strong research experience in football analytics are invited to apply.
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Football Quant Analyst — Predictive Modelling & Impact in City of London employer: Smartodds
Smartodds is an exceptional employer that fosters a collaborative and innovative work culture in the heart of North London. With a strong emphasis on employee growth, we offer continuous learning opportunities, peer reviews, and the chance to engage in impactful projects that shape the future of automated betting strategies. Join us to be part of a dynamic team where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Football Quant Analyst — Predictive Modelling & Impact in City of London
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We think you need these skills to ace Football Quant Analyst — Predictive Modelling & Impact in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Smartodds, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Smartodds. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Smartodds
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Smartodds!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
