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- Tasks: Develop and optimise pricing algorithms for sports betting using data-driven insights.
- Company: Dynamic company at the forefront of sports betting technology.
- Benefits: Eye care, flu vaccinations, life assurance, and hybrid working options.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Combine your passion for sports with analytical skills to shape betting strategies.
- Qualifications: Degree in Mathematics, Computer Science, or Statistics; programming experience required.
The predicted salary is between 50000 - 65000 £ per year.
As a Quantitative Analyst, you will utilise your analytical and technical skills to develop probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
You will collaborate closely with data scientists, traders, and software developers to create and refine models. This position requires a strong passion for sports, alongside analytical and technical skills, and plays a vital role in enhancing our betting strategies and delivering competitive options to our customers. This role is eligible for inclusion in the company’s hybrid working from home policy.
Preferred Skills and Experience- Bachelor’s Degree in a quantitative discipline, such as Mathematics, Computer Science or Statistics, or relevant industry experience.
- Strong interest in and knowledge of sports and the gambling industry.
- Detailed understanding of probability and statistics relevant to sports betting.
- Commercial experience in programming languages and databases, such as C#, Go, R, Python, and SQL.
- Experience with machine learning techniques.
- Proficiency in Windows and Microsoft Office Suite.
- Familiarity optimising models for both accuracy and computational efficiency.
- Strong verbal and written communication skills.
- Building and maintaining pricing algorithms used in sports betting models.
- Analysing data to quantify and refine pricing methodologies.
- Optimising model performance for both accuracy and computational efficiency.
- Developing and supporting technical solutions.
- Identifying and addressing bugs that are causing errors or problems within models.
- Managing code versions using source control systems, ensuring proper documentation and version control.
- Collaborating with Trading teams to incorporate domain expertise into mathematical models.
- Working with development teams to ensure alignment with technical solutions.
- Supporting peer reviews and quality assurance activities.
- Eye care and Flu Vaccinations
- Life Assurance
Quantitative Analyst, Sports in Stoke-on-Trent employer: bet365 Group
Contact Detail:
bet365 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst, Sports in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend sports analytics meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical models or any relevant projects you've worked on. This is your chance to demonstrate your passion for sports and your technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of probability and statistics as they relate to sports betting. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Analyst, Sports in Stoke-on-Trent
Some tips for your application 🫡
Show Your Passion for Sports: Make sure to highlight your love for sports in your application. We want to see that you’re not just a numbers person, but someone who genuinely enjoys the game and understands the betting landscape.
Tailor Your Skills to the Role: When you’re writing your application, connect your analytical and technical skills directly to the job description. We’re looking for specific examples of how your experience with programming languages and statistical models can enhance our betting products.
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by keeping your language straightforward and to the point. Avoid jargon unless it’s relevant to the role, and ensure your passion shines through without overwhelming us with unnecessary details.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at bet365 Group
✨Know Your Numbers
As a Quantitative Analyst, you'll be expected to have a solid grasp of probability and statistics. Brush up on key concepts and be ready to discuss how they apply to sports betting. Prepare examples of how you've used these skills in past projects or experiences.
✨Show Your Passion for Sports
This role requires a strong interest in sports, so make sure to convey your enthusiasm during the interview. Share your favourite sports, teams, or any relevant experiences that showcase your knowledge of the industry. This will help you connect with the interviewers and demonstrate your fit for the role.
✨Demonstrate Technical Proficiency
Familiarise yourself with the programming languages and tools mentioned in the job description, like Python, R, and SQL. Be prepared to discuss your experience with these technologies and even solve a coding problem if asked. Showing that you can optimise models for accuracy and efficiency will set you apart.
✨Collaborate and Communicate
Since this role involves working closely with data scientists, traders, and developers, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated on projects in the past, and be ready to discuss how you would approach working with different teams in this role.