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- Tasks: Develop and maintain pricing models for esports using machine learning.
- Company: Join Harrington Starr, a leader in the esports betting industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation.
- Why this job: Be at the forefront of esports and make a real impact with your analytical skills.
- Qualifications: Degree in a quantitative field and 5+ years in sports betting required.
The predicted salary is between 60000 - 80000 £ per year.
Harrington Starr is looking for a Senior Quantitative Analyst in Monkston, UK, to join their trading team in the competitive gaming and esports space. The role includes developing and maintaining pricing models for esports content, leveraging machine learning to improve accuracy, and collaborating with data analytics teams.
Candidates should have:
- A degree in a quantitative field
- Over 5 years of experience in the sports betting industry
- Proficiency in programming languages like Python and R
Senior Quant Analyst - Esports Betting ML Pricing 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 - Esports Betting ML Pricing in England
✨Tip Number 1
Network like a pro! Reach out to folks in the esports and betting industry on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your pricing models or any machine learning projects you've worked on. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python and R, and how you've applied them in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Senior Quant Analyst - Esports Betting ML Pricing in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the sports betting industry and your quantitative skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Show Off Your Skills: When writing your application, emphasise your proficiency in programming languages like Python and R. We’re keen on seeing how you’ve used these tools in real-world scenarios, especially in developing pricing models or using machine learning.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the Senior Quant Analyst role!
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 serious about joining our team!
How to prepare for a job interview at Harrington Starr
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models you've developed or worked with. Make sure you can explain how your work has impacted pricing accuracy in previous roles.
✨Showcase Your Programming Prowess
Be prepared to demonstrate your proficiency in Python and R. You might be asked to solve a coding problem on the spot, so practice common algorithms and data manipulation tasks relevant to esports betting.
✨Understand the Esports Landscape
Familiarise yourself with current trends in esports and gaming. Being able to discuss recent developments or popular games will show your passion for the industry and help you connect with the interviewers.
✨Collaborate and Communicate
Since the role involves working with data analytics teams, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated on projects in the past, especially in high-pressure environments.