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- Tasks: Develop cutting-edge pricing models for sports and esports betting.
- Company: Join a dynamic team at SIS, a leader in sports trading.
- Benefits: Hybrid work model, collaborative culture, and opportunities for growth.
- Other info: Mentorship opportunities and a focus on innovation and teamwork.
- Why this job: Make a real impact in the exciting world of sports and esports trading.
- Qualifications: Degree in relevant field 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.
- 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
At SIS, our values shape everything we do:
- 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 in London employer: SIS
Contact Detail:
SIS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst in London
✨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 best models and analyses. When you get that interview, having tangible examples will make you stand out.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of machine learning and sports analytics. We want to see how you think on your feet, so practice explaining your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Quantitative Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Quantitative Analyst role. Highlight your expertise in sports analytics, machine learning, and any relevant programming languages like Python or R.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about sports and esports. Share specific examples of how you've used data to drive trading performance or developed innovative models in your previous roles.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse of your analytical mindset. Describe a challenging problem you faced as a Quantitative Analyst and how you approached it, especially if it involved collaboration with other teams.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at SIS
✨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 past projects and be ready to discuss the methodologies you used, the challenges you faced, and how you overcame them. This will show your expertise and passion for the role.
✨Showcase Your Data Skills
Be prepared to demonstrate your proficiency in Python, R, or any other relevant programming languages. You might be asked to solve a problem on the spot, so practice coding challenges related to sports analytics. This will highlight your technical skills and ability to think on your feet.
✨Communicate Clearly
Effective communication is key, especially when collaborating with cross-functional teams. Practice explaining complex concepts in simple terms. During the interview, make sure to articulate your thought process clearly, as this will reflect your ability to document and communicate your work effectively.
✨Emphasise Team Collaboration
Since the role involves working closely with developers and product managers, share examples of successful collaborations from your past experiences. Highlight how you contributed to team success and supported junior analysts, showcasing your leadership and mentoring skills.