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- Tasks: Develop predictive models and deliver data-led insights in the sports sector.
- Company: Data-driven analytics organisation specialising in sports modelling.
- Benefits: Competitive salary, ongoing professional development, and a collaborative environment.
- Why this job: Join a dynamic team and make an impact in the world of sports analytics.
- Qualifications: MSc in a quantitative discipline and strong statistical modelling skills.
- Other info: Engage in continuous learning and contribute to innovative research projects.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a data-driven analytics organisation specialising in predictive modelling within the sports sector. They are seeking a Quantitative Analyst to join their modelling team, focusing on developing statistical models and delivering data-led insights. This role centres on modelling within a major global sport, with opportunities to contribute to research across additional sports and analytical projects.
Key Responsibilities
- Develop and refine predictive models for pre-event and in-play scenarios
- Perform statistical analysis and hypothesis testing using large datasets
- Identify enhancements and research opportunities within existing models
- Maintain and improve mathematical libraries and modelling tools
- Support the delivery of reliable predictive outputs for commercial applications
- Communicate analytical findings to technical and non-technical audiences
- Participate in peer reviews, research initiatives, and continuous improvement
- Engage in ongoing professional development and knowledge sharing
Required Skills & Experience
- MSc in Statistics, Mathematics, Data Science, or a related quantitative discipline (PhD or equivalent experience advantageous)
- Strong background in probabilistic and statistical modelling
- Proficiency in Python, R, or another high-level programming language
- Experience working with complex datasets and presenting insights
- Ability to explain technical concepts clearly
- Demonstrated interest in applied modelling or analytics
- Right to work in the UK
Desirable Experience
- Interest in sport and performance analytics
- Understanding of market pricing or forecasting models
- Knowledge of Bayesian methods, machine learning, or advanced statistical techniques
- Experience with optimisation methods or automated decision systems
- Familiarity with databases (SQL or NoSQL)
- Experience with additional programming languages
What’s on Offer
- Research-focused and collaborative environment
- Opportunity to take models from concept through deployment
- Ongoing professional development and learning support
- Competitive salary and benefits
Quantitative Analyst in City of London employer: Oakwell Hampton Group
Contact Detail:
Oakwell Hampton Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the sports analytics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Quantitative Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and statistical analyses. We recommend including projects that highlight your proficiency in Python or R, as this will make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. We suggest practising explaining complex concepts in simple terms, as you'll need to convey your findings to both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Quantitative Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with statistical modelling and any relevant programming skills, like Python or R. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven analytics in sports. Share specific examples of your work that demonstrate your skills and interest in the field.
Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to mention them. We love seeing practical applications of your skills, especially if they involve predictive modelling or complex datasets.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Oakwell Hampton Group
✨Know Your Models Inside Out
Make sure you can discuss the predictive models you've worked on in detail. Be ready to explain your thought process, the statistical techniques you used, and how they apply to real-world scenarios, especially in sports analytics.
✨Brush Up on Your Programming Skills
Since proficiency in Python or R is crucial, practice coding problems related to data analysis and modelling. Be prepared to demonstrate your coding skills during the interview, as they may ask you to solve a problem on the spot.
✨Communicate Like a Pro
You’ll need to explain complex concepts to both technical and non-technical audiences. Practice summarising your analytical findings in simple terms, and think of examples where you’ve successfully communicated insights in the past.
✨Show Your Passion for Sports Analytics
Demonstrate your interest in sports and performance analytics by discussing relevant projects or research you've done. Mention any specific sports you follow and how data influences your understanding of them, as this will show your enthusiasm for the role.