Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop quantitative models and tools for sports trading, focusing on price accuracy and performance.
- Company: Join Sporting Solutions, a leader in sports betting technology and trading.
- Benefits: Enjoy flexible work options, competitive salary, gym membership, and generous company bonuses.
- Why this job: Be part of an agile team that values learning and innovation in a dynamic industry.
- Qualifications: A STEM degree and programming skills in C#, Python, or R are essential.
- Other info: Experience in sports betting and mentoring is a plus!
The predicted salary is between 28800 - 48000 £ per year.
As a member of our QTS team, you will be a key contributor in developing quantitative models and tools required for trading a wide range of sports with an emphasis on using the best possible techniques and technologies to enable continuous improvement of price accuracy, performance and content.
Our Company
Sporting Solutions is one of the world’s leading names in sports betting technology and trading.
The Quantitative Trading Solutions department is one focussed on delivering Trading Models and bespoke Tooling using mathematical expertise and highly skilled software development.
We’re focused on using the best tool for the job so are looking for people who are keen to learn, gain exposure to a wide range of technologies and enjoy working in a continuous and agile delivery environment.
Your main responsibilities are to:
- Produce logical modelling solutions for business requirements
- Adapt model features and content in line with business priorities
- Seeing work through from development to delivery and maintaining accordingly
- Create statistical and machine learning models to expand and enhance model performance
- Assist in development of new data driven methodologies
- Be involved in the verification of proposed changes, especially on derivative effects
- Clearly explain methodologies used and reasons why to model consumers
- Understand how the models interact with the internal systems to produce and provide prices
- Create and maintain visualisation and analysis tools for stakeholders around the business
- Working closely with the business to understand requirements
- Building strong relationships across the business with other teams
Skills required:
- A mathematical background – PhD, Masters or Bachelor’s degree in STEM
- Computer programming skills in technologies such as c#, python, R
- Knowledge of statistical and machine learning modelling techniques
- Ability to solve problems and detail reason on the methods chosen
- Excellent communication skills, able to understand and translate complex technical information to others.
- Understanding of the sports betting industry, sports trading and sports modelling.
Extra marks:
- Experience of building mathematical models
- Experience of working in the sports betting industry
- The ability to mentor and work with other members of the team
What we offer
- Get rewarded: competitive salary and generous company bonus
- Stay healthy: Gym flex membership and Cycle scheme
- Be protected: pension scheme, Life Insurance, Medical scheme (including dental, optical and audiological cover)
- Keep a balance between work and life: flexible working policy (2 days in our amazing central London office and 3 days at home), 25 holidays days and a day off for your Birthday.
Benefits:
- Casual dress
- Company events
- Company pension
- Cycle to work scheme
- Discounted or free food
- Employee discount
- Enhanced paternity leave
- Gym membership
- On-site gym
- Paid volunteer time
- Private dental insurance
- Private medical insurance
- Sick pay
- Transport links
- Work from home
Quantitative Analyst employer: Sporting Solutions
Contact Detail:
Sporting Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative modeling and sports betting. This will not only help you understand the industry better but also allow you to discuss relevant topics during your interview, showcasing your passion and knowledge.
✨Tip Number 2
Brush up on your programming skills, especially in Python and R. Being able to demonstrate your coding abilities through practical examples or projects can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the sports betting and quantitative analysis fields. Attend industry events or join online forums to connect with others who can provide insights or even referrals to our open positions.
✨Tip Number 4
Prepare to explain complex technical concepts in simple terms. Since excellent communication skills are a must for this role, practicing how to convey your ideas clearly will help you impress during interviews.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and skills required for the Quantitative Analyst position. Tailor your application to highlight your relevant experience in developing quantitative models and your programming skills in languages like Python or R.
Highlight Your Technical Skills: Emphasize your mathematical background and any experience with statistical and machine learning techniques. Provide specific examples of projects where you've successfully applied these skills, especially in a sports betting context.
Showcase Communication Abilities: Since excellent communication skills are crucial for this role, include examples of how you've effectively translated complex technical information to non-technical stakeholders. This will demonstrate your ability to work collaboratively across teams.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the job description. Use keywords from the posting, such as 'agile delivery environment' and 'data-driven methodologies', to ensure your application stands out to hiring managers.
How to prepare for a job interview at Sporting Solutions
✨Showcase Your Mathematical Expertise
Be prepared to discuss your mathematical background in detail. Highlight any relevant degrees or projects that demonstrate your ability to develop quantitative models, as this is crucial for the role.
✨Demonstrate Programming Skills
Familiarize yourself with programming languages mentioned in the job description, such as C#, Python, and R. Be ready to provide examples of how you've used these technologies in past projects or roles.
✨Understand the Sports Betting Industry
Research the sports betting industry and be prepared to discuss how your knowledge can contribute to the company's goals. Understanding sports trading and modeling will set you apart from other candidates.
✨Communicate Complex Ideas Clearly
Practice explaining complex technical concepts in simple terms. This skill is essential for collaborating with non-technical stakeholders and will demonstrate your excellent communication abilities.
