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- Tasks: Develop and maintain statistical models for sports betting, enhancing market offerings and managing risk.
- Company: Join a dynamic team at the forefront of the sports betting industry, driving innovation and success.
- Benefits: Enjoy a competitive salary, collaborative environment, and the chance to work on impactful projects.
- Why this job: Leverage your data science skills in a fast-paced setting while pushing the boundaries of sports betting analytics.
- Qualifications: PhD, Masters, or Bachelor's in STEM; proficiency in C# and Python; 5+ years in a quantitative role.
- Other info: Bonus points for experience in sports betting and mentoring skills.
The predicted salary is between 48000 - 72000 £ per year.
Join our team and shape the future of sports betting! We\’re seeking a highly motivated and innovative Senior Quantitative Analyst to develop and maintain cutting-edge statistical models. You\’ll play a crucial role in enhancing our market offerings and driving our success in the dynamic world of sports betting. This is an opportunity to leverage your expertise in data science, machine learning, and AI to build models that predict outcomes, manage risk, and unlock new possibilities in micro-markets and derivatives.
About the Role:
As a Senior Quantitative Analyst, you will be a key contributor to our quantitative modeling strategy across multiple areas, including:
- Core Sports Betting Models: Develop and refine models for predicting match outcomes, incorporating advanced statistical methods, machine learning algorithms, and AI techniques.
- Player Statistics Models: Build and maintain sophisticated models that analyze player performance and predict individual contributions, opening up exciting new betting markets.
- Risk Management Models: Design and implement robust risk models to optimize our exposure and ensure the long-term sustainability of our operations.
- Market Expansion: Contribute to the development of innovative market offerings, including derivatives and micro-markets, by creating the necessary underlying models.
- Technology Modernization: Collaborate on the modernization of our modeling technologies, exploring and implementing new tools and platforms to enhance efficiency and scalability.
- Data-Driven Innovation: Contribute to the development of new data-driven methodologies, pushing the boundaries of what\’s possible in sports betting analytics.
- Data Collaboration: Work closely with the data engineering team to optimize data storage and retrieval processes, ensuring seamless access to the information needed for model development.
- Data Acquisition: Identify and collect relevant data sources to fuel model development and improvement.
- Knowledge Sharing: Document model methodologies clearly and concisely, effectively communicating complex technical concepts to both technical and non-technical stakeholders across the business.
- Performance Analysis: Collaborate with the performance analysis team to identify areas where models can be improved and contribute to the ongoing refinement of our analytical tools.
About You:
You are a highly analytical and results-oriented individual with a passion for sports and a deep understanding of quantitative modelling. You thrive in a fast-paced environment and are eager to contribute to a team that is pushing the boundaries of sports betting analytics.
- Education: PhD, Masters, or Bachelor’s degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering).
- Programming Skills: Proficiency in C# and Python is essential.
- Modelling Expertise: Strong knowledge of statistical and machine learning modelling techniques.
- Communication Skills: Excellent communication skills, with the ability to clearly explain complex technical information to diverse audiences.
- Industry Knowledge: A solid understanding of the sports betting industry, sports trading, and sports modelling.
- Problem-Solving: Demonstrated ability to solve complex problems and provide clear justifications for chosen methodologies.
- Modelling Experience: Proven experience in building and deploying mathematical models.
- Data Skills: Proficient in data retrieval and statistical analysis.
- Experience: 5+ years of experience in a quantitative role.
Bonus Points:
- Experience working in the sports betting industry.
- Mentoring and team leadership skills.
- Experience developing quantitative models using machine learning and AI.
- Strong knowledge and skills in data engineering (SQL).
What We Offer:
- A chance to be part of a dynamic and innovative team at the forefront of the sports betting industry.
- The opportunity to work on challenging and impactful projects.
- A competitive salary and benefits package.
- A collaborative and supportive work environment.
If you\’re ready to take your quantitative skills to the next level and revolutionize the world of sports betting, we encourage you to apply!
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Other
- Industries: Gambling Facilities and Casinos
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Senior Quantitative Analyst employer: Sporting Solutions
Contact Detail:
Sporting Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in sports betting analytics. Understanding current market dynamics and emerging technologies will help you stand out as a candidate who is not only knowledgeable but also passionate about the industry.
✨Tip Number 2
Network with professionals in the sports betting and quantitative analysis fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn more about the challenges and innovations in the sector.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. Highlighting your proficiency in C# and Python through practical applications can demonstrate your technical capabilities effectively.
✨Tip Number 4
Prepare to discuss your previous modeling experiences in detail. Be ready to explain the methodologies you used, the challenges you faced, and how your models impacted decision-making processes in your past roles.
We think you need these skills to ace Senior Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Quantitative Analyst position. Familiarize yourself with the key areas mentioned in the job description, such as statistical modeling, machine learning, and risk management.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your proficiency in C# and Python, as well as your experience in building and deploying mathematical models in a quantitative role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports betting and your analytical skills. Discuss specific projects or experiences that demonstrate your ability to develop statistical models and contribute to data-driven innovation.
Highlight Communication Skills: Since the role requires excellent communication skills, ensure you provide examples of how you've effectively communicated complex technical concepts to both technical and non-technical audiences in your application materials.
How to prepare for a job interview at Sporting Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in C# and Python. Bring examples of past projects where you've successfully implemented statistical models or machine learning algorithms, as this will demonstrate your hands-on experience.
✨Understand the Sports Betting Landscape
Familiarize yourself with current trends and challenges in the sports betting industry. Being able to discuss how your quantitative skills can address these issues will show your passion and understanding of the field.
✨Communicate Complex Ideas Clearly
Practice explaining your modeling methodologies in simple terms. The ability to convey complex technical concepts to both technical and non-technical stakeholders is crucial for this role.
✨Prepare for Problem-Solving Scenarios
Expect to face case studies or hypothetical scenarios during the interview. Be ready to walk through your thought process and justify your chosen methodologies, showcasing your analytical and problem-solving skills.
