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- Tasks: Develop cutting-edge pricing models for sports and esports betting.
- Company: Dynamic trading team in a fast-paced, collaborative environment.
- Benefits: Hybrid work model, mentorship opportunities, and a chance to innovate.
- Other info: Join a team that values collaboration, integrity, and continuous improvement.
- Why this job: Make a real impact on sports and esports trading with your data-driven insights.
- Qualifications: Degree in relevant fields and experience as a Quantitative Analyst.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid – 3 days in the office each week)
Are you a data-driven innovator with a passion for sports and esports? Do you thrive in a fast-paced, collaborative environment where your models directly impact trading performance? If so, we want to hear from you! We’re on the hunt for a Senior Quantitative Analyst to join our dynamic Trading Team. This is a high-impact role where you’ll be at the forefront of developing cutting‑edge pricing models and algorithms that power our sports and esports betting platforms.
What You’ll Be Doing
- Model Mastery: Build and refine sophisticated pricing models for sports and esports betting, driving high‑margin opportunities.
- Trading Support: Provide analytical insights to optimize trading strategies and performance.
- Innovation Through Data: Integrate rich in‑play data, customer insights, and live betting liabilities to evolve our pricing logic.
- Machine Learning Magic: Apply ML techniques to enhance model accuracy and efficiency.
- Cross‑Team Collaboration: Work closely with developers, product managers, and analysts to bring your models to life.
- Documentation & Communication: Ensure your work is clearly documented and effectively communicated across teams.
- Mentorship & Development: Support the growth of junior analysts and continuously develop your own skillset.
What We’re Looking For
- Degree in Mathematics, Statistics, Computer Science, Physics, or Engineering
- Substantial experience as a Quantitative Analyst in the sports betting industry
- Proficiency in Python, R, Java, and/or C#
- Strong knowledge of sports analytics and machine learning
- Excellent problem‑solving and communication skills
- Ability to manage code across development environments
- Experience in owning code from development to production
- Experience with American Football, Basketball, Soccer, or Baseball modelling
- Familiarity with agile development processes and cloud computing
- Understanding of Bayesian methods and Game Theory
- Proven leadership and mentoring experience
Why Join Us?
- Inspiring Enthusiasm: Be a role model and energise those around you.
- Better Together: Collaborate across teams to deliver excellence.
- Focused Innovation: Drive change through curiosity and continuous improvement.
- Trusted Delivery: Uphold integrity and deliver with confidence.
Ready to Apply? If you're excited by the challenge and want to make a real impact in the world of sports and esports trading, we’d love to hear from you. Apply now and let’s shape the future of betting together.
Senior Quantitative Analyst employer: SIS Ltd
Contact Detail:
SIS Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the sports and esports industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your models and analyses. This is your chance to demonstrate your expertise in Python, R, or any other tools you love.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of sports analytics and machine learning. Be ready to discuss how you've used these in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Quantitative Analyst
Some tips for your application 🫡
Show Your Passion for Sports & Esports: Make sure to highlight your love for sports and esports in your application. We want to see how your passion drives your analytical skills and how it can impact our trading performance.
Demonstrate Your Technical Skills: When detailing your experience, be specific about the programming languages and tools you've used. We’re looking for proficiency in Python, R, Java, or C#, so let us know how you’ve applied these in real-world scenarios.
Highlight Collaboration Experience: Since we thrive on teamwork, share examples of how you've worked with cross-functional teams. Whether it’s developers or product managers, show us how you’ve brought your models to life through collaboration.
Keep It Clear and Concise: Your application should be well-structured and easy to read. We appreciate clear documentation and communication, so make sure your ideas flow logically and are presented in a straightforward manner.
How to prepare for a job interview at SIS Ltd
✨Know Your Models Inside Out
As a Senior Quantitative Analyst, you'll be expected to have a deep understanding of pricing models. Brush up on your knowledge of sports and esports analytics, and be ready to discuss how you've built or refined models in the past. Prepare specific examples that showcase your expertise and the impact your work has had on trading performance.
✨Showcase Your Technical Skills
Make sure you’re comfortable discussing your proficiency in Python, R, Java, or C#. Be prepared to explain how you've used these languages in your previous roles, especially in relation to machine learning techniques. If possible, bring along a portfolio of your work or projects that demonstrate your coding skills and analytical capabilities.
✨Emphasise Collaboration
This role requires cross-team collaboration, so highlight your experience working with developers, product managers, and other analysts. Share examples of how you've successfully collaborated on projects, and be ready to discuss how you can contribute to a team environment at their company.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your problem-solving abilities. Think about challenges you've encountered in your previous roles and how you overcame them, particularly in relation to model accuracy and efficiency. Practising these scenarios will help you articulate your thought process clearly during the interview.