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- Tasks: Build predictive models for cricket outcomes using statistical techniques and programming.
- Company: Join a respected sports analytics firm at the forefront of sports prediction.
- Benefits: Enjoy competitive salary, private medical insurance, subsidised meals, and learning budgets.
- Why this job: Work in a collaborative environment on exciting real-world challenges in cricket analytics.
- Qualifications: Strong problem-solving skills and a solid understanding of cricket are essential.
- Other info: Flexible hybrid working model tailored to your experience level.
The predicted salary is between 36000 - 60000 £ per year.
An exciting opportunity to join a respected sports analytics firm applying cutting-edge statistical modelling to real-world prediction and betting challenges.
The opportunity:
- Build predictive models for cricket outcomes across global formats and competitions
- Use a mix of statistical techniques (e.g. regression, simulation, time series, ensemble models)
- Work hands-on with Python and SQL in a collaborative, hybrid environment
- Tailor scope and responsibility based on experience – from junior to senior-level impact
You’ll bring:
- Strong problem-solving skills and a pragmatic, delivery-focused mindset
- Solid understanding of cricket’s nuances, players, and leagues
- A track record of communicating technical work clearly
- (Bonus) Sports modelling or betting domain knowledge
Offer includes:
- Competitive salary with biannual bonus potential
- Private medical insurance and subsidised meals
- Learning budgets and regular team-led engagement activities
Cricket Quant Analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cricket Quant Analyst
✨Tip Number 1
Familiarise yourself with the latest statistical techniques used in sports analytics, especially those relevant to cricket. Being able to discuss these methods confidently during interviews will demonstrate your expertise and passion for the role.
✨Tip Number 2
Engage with the cricket community online, whether through forums, social media, or local clubs. This will not only enhance your understanding of the game but also help you network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to showcase your Python and SQL skills through practical examples. Consider working on personal projects or contributing to open-source initiatives that involve predictive modelling in sports to highlight your hands-on experience.
✨Tip Number 4
Stay updated on current trends in sports betting and analytics. Being knowledgeable about recent developments can give you an edge in discussions and show your commitment to the field during interviews.
We think you need these skills to ace Cricket Quant Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Cricket Quant Analyst. Familiarise yourself with statistical modelling techniques and how they apply to cricket outcomes.
Highlight Relevant Skills: In your CV and cover letter, emphasise your problem-solving skills and any experience you have with Python and SQL. Mention specific statistical techniques you are proficient in, such as regression or time series analysis.
Show Your Passion for Cricket: Demonstrate your understanding of cricket by mentioning specific players, leagues, or competitions you follow. This will show your genuine interest in the sport and its analytics.
Communicate Clearly: When writing your application, ensure that you communicate your technical skills and experiences clearly. Avoid jargon and make your achievements easy to understand, especially if they relate to sports modelling or betting.
How to prepare for a job interview at Harrington Starr
✨Show Your Passion for Cricket
Make sure to express your enthusiasm for cricket during the interview. Discuss your favourite players, teams, or memorable matches, and how they have influenced your understanding of the game. This will demonstrate your genuine interest in the sport and its analytics.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've applied statistical techniques like regression or time series analysis. If possible, showcase any predictive models you've built and explain your thought process behind them.
✨Communicate Clearly
Since the role requires clear communication of technical work, practice explaining complex concepts in simple terms. You might be asked to present a past project, so ensure you can articulate your methods and findings effectively to someone who may not have a technical background.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios related to cricket outcomes. Brush up on your analytical thinking skills and be ready to walk through your thought process when tackling these challenges. This will highlight your pragmatic, delivery-focused mindset that the company values.
