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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: Flexible work arrangement: 3 days onsite, 2 days remote.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic 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.
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 Analyst, Research (Maternity Cover) in City of London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst, Research (Maternity Cover) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the competitive gaming and esports space on LinkedIn. A friendly message can go a long way, and who knows, they might just have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got some cool projects or models you've worked on, don’t hesitate to share them during interviews. It’s a great way to demonstrate your expertise in quantitative analysis and machine learning.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of sports betting pricing models and algorithms. Being able to discuss your thought process will impress the hiring team and show you’re the right fit.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented analysts like you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace Senior Analyst, Research (Maternity Cover) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Quantitative Analyst. Highlight your experience in sports betting and any relevant projects you've worked on. We want to see how your skills match up with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your proficiency in Python, R, or any machine learning techniques. 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. Keep it engaging and personal – we love to see your personality!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 quantitative skills and be ready to discuss specific examples of models you've created or improved. Be prepared to explain the algorithms you used and how they impacted betting strategies.
✨Showcase Your Tech Skills
Make sure you're comfortable discussing your proficiency in Python, R, Java, or C#. Bring examples of projects where you've leveraged these languages, especially in relation to machine learning techniques. This will show that you can hit the ground running and contribute to the tech team right away.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with non-technical stakeholders. Consider preparing a few scenarios where you've successfully communicated technical information to a diverse audience.
✨Be Ready to Collaborate
This position involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Think of examples where you've worked with data analytics or trading teams, and how you contributed to optimising strategies or improving performance.