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- Tasks: Develop and maintain sports betting pricing models for esports, using machine learning techniques.
- Company: Exciting client in the competitive gaming and esports space.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to develop your skills and lead projects.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced world of esports.
- Qualifications: Degree in a quantitative field and 5+ years as a Quantitative Analyst in sports betting.
The predicted salary is between 60000 - 80000 £ per year.
I'm working with an exciting client in the competitive gaming and esports space who are looking for a Senior Quantitative Analyst to join their trading team.
The Role
Reporting into the Head of Sports Trading, you will be responsible for the development and maintenance of sophisticated sports betting pricing models and algorithms for esports content. You will work closely with the technology and development team, product stakeholders and the data analytics function, providing crucial analytical support to the trading team.
Key Responsibilities
- Develop and continuously update sports betting pricing models and algorithms to ensure accuracy and generate high margin betting opportunities.
- Leverage machine learning techniques to improve the accuracy and efficiency of pricing models.
- Continuously evolve models through the use of new data points including rich in-play game data, customer profitability data and live betting liability data.
- Provide analytical support to the trading function, helping to optimise strategies and improve overall performance.
- Collaborate closely with the data analytics team to understand available data and provide clear direction on requirements.
- Own the full development lifecycle of models across all environments, from Dev to Prod.
- Document all models, processes and algorithms clearly for use across the team.
- Support the development of direct reports and contribute to building team capability.
Skills and Experience
Essential
- Degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics or Engineering.
- 5+ years of experience as a Quantitative Analyst within the sports betting industry.
- Proficiency in Python, R, Java and/or C#.
- Experience with machine learning techniques and algorithms.
- Strong communication skills with the ability to explain complex concepts to non-technical stakeholders.
- Excellent problem-solving skills and attention to detail.
Desirable
- Experience modelling American Football, Basketball, Soccer or Baseball.
- Familiarity with agile development processes.
- Experience with big data technologies and cloud computing platforms.
- Understanding of Bayesian methods and Game Theory.
- Experience managing and developing direct reports.
Senior Quant Analyst in England employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst in England
✨Tip Number 1
Network like a pro! Reach out to folks in the competitive gaming and esports space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and algorithms. If you’ve worked on any projects related to sports betting or machine learning, make sure to highlight them. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Python, R, and machine learning techniques. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Senior Quant Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Analyst role. Highlight your experience in sports betting and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used Python, R, or machine learning techniques in your previous roles. This helps us see your practical experience in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about competitive gaming and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harrington Starr
✨Know Your Numbers
As a Senior Quantitative Analyst, you'll need to demonstrate your expertise in developing pricing models. Brush up on your mathematical and statistical knowledge, especially related to sports betting. Be ready to discuss specific models you've worked on and how they improved betting strategies.
✨Showcase Your Tech Skills
Make sure you can talk confidently about your experience with programming languages like Python, R, Java, or C#. Prepare examples of how you've used these skills in previous roles, particularly in relation to machine learning techniques and algorithms. This will show that you're not just a numbers person but also tech-savvy.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas to non-technical stakeholders. Consider preparing a few scenarios where you've successfully communicated technical information in the past.
✨Collaborate and Contribute
This position involves working closely with various teams, so be prepared to discuss your collaborative experiences. Think of examples where you've contributed to team projects, especially in agile environments. Highlight how you’ve supported others and helped build team capability.