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- Tasks: Join a team to enhance predictive models and solve unique challenges in football analytics.
- Company: Work with a leading sports analytics company in the exciting iGaming industry.
- Benefits: Enjoy the freedom to explore ideas and collaborate with a talented team.
- Why this job: Combine your passion for sports with cutting-edge analytics in a dynamic environment.
- Qualifications: 3+ years in predictive modeling, strong Python skills, and a love for football analytics.
- Other info: Opportunity to work independently while contributing to a collaborative team.
The predicted salary is between 48000 - 84000 £ per year.
BettingJobs is partnering with a renowned sports analytics company that serves clients in the iGaming industry in their search for a talented Quantitative Analyst to join their London based team.
If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.
The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with football knowledge.
Key Requirements:
- 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries
- Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected, you should have a broad awareness of available techniques and tools, and understand the trade-offs of different approaches
- Strong Programming skills, ideally in Python
- Knowledge of SQL and relational databases
- Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively
An excellent candidate will also:
- Understand and apply expected value and utility principles, both in evaluating betting scenarios and in prioritising projects or analyses
- Have a practical approach to problem-solving, balancing attention to detail with the ability to deliver MVPs quickly
- Be able to deliver projects independently, making informed and justifiable decisions, while also contributing effectively as part of a team
- Be able to communicate complex models and analyses clearly to both technical and non-technical audiences
- Have an interest in football and sports analytics
Mid/Senior Quant employer: BettingJobs
Contact Detail:
BettingJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid/Senior Quant
✨Tip Number 1
Make sure to showcase your experience with predictive modeling and machine learning in your conversations. Highlight specific projects where you've applied these techniques, especially in sports or gaming contexts.
✨Tip Number 2
Familiarize yourself with the latest trends in football analytics. Being able to discuss recent developments or innovative methods in the field can set you apart during interviews.
✨Tip Number 3
Prepare to demonstrate your programming skills, particularly in Python. Consider working on a small project or two that you can discuss, showcasing your ability to turn insights into production-ready solutions.
✨Tip Number 4
Since communication is key, practice explaining complex models in simple terms. This will help you convey your ideas effectively to both technical and non-technical team members.
We think you need these skills to ace Mid/Senior Quant
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 3+ years of experience in predictive modeling, machine learning, and probability theory. Tailor your CV to showcase any relevant projects or roles in the sports or gaming industries.
Showcase Technical Skills: Clearly outline your programming skills, especially in Python, and your familiarity with SQL and relational databases. Mention specific techniques you have used, such as Monte Carlo simulation or Bayesian modeling, to demonstrate your expertise.
Demonstrate Problem-Solving Ability: Provide examples of how you've approached complex problems in the past. Highlight your practical approach to problem-solving and your ability to deliver minimum viable products (MVPs) quickly while maintaining attention to detail.
Express Your Passion for Sports Analytics: Convey your interest in football and sports analytics in your cover letter. Discuss how your passion drives your work and how it aligns with the company's mission to innovate in the iGaming industry.
How to prepare for a job interview at BettingJobs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with predictive modeling, machine learning, and probability theory. Highlight specific projects where you've applied techniques like Monte Carlo simulation or Bayesian modeling, and be ready to explain the trade-offs of different approaches.
✨Demonstrate Problem-Solving Abilities
Prepare examples that illustrate your practical approach to problem-solving. Discuss how you've balanced attention to detail with the need to deliver minimum viable products quickly, especially in a fast-paced environment like sports analytics.
✨Communicate Clearly
Practice explaining complex models and analyses in simple terms. You may encounter both technical and non-technical audiences during the interview, so being able to convey your insights clearly is crucial.
✨Express Your Passion for Sports Analytics
Show your enthusiasm for football and sports analytics. Share any personal projects or research you've done in this area, as it will demonstrate your genuine interest and commitment to the field.
