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- Tasks: Join our QTS team to develop cutting-edge quantitative models for sports trading.
- Company: Sporting Solutions is a leader in sports betting technology and trading.
- Benefits: Enjoy flexible work, competitive salary, gym membership, and generous 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 36000 - 60000 £ 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 focused 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 we 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
- See work through from development to delivery and maintain accordingly
- Create statistical and machine learning models to expand and enhance model performance
- Assist in the 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
- Work closely with the business to understand requirements
- Build 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 reasons 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
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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 speak confidently about how your skills can contribute to our QTS team.
✨Tip Number 2
Engage with online communities or forums related to quantitative analysis and sports trading. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially in C#, Python, and R. Being able to demonstrate your coding abilities during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of statistical and machine learning models you've worked on. Being able to explain your thought process and the impact of your work will showcase your expertise and problem-solving skills.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Analyst position. Understand the key responsibilities and required skills, especially the emphasis on mathematical modeling and programming languages like C#, Python, and R.
Highlight Relevant Experience: In your CV and cover letter, emphasize any experience you have in building mathematical models or working in the sports betting industry. Provide specific examples of projects or roles that demonstrate your skills in statistical and machine learning techniques.
Showcase Communication Skills: Since excellent communication skills are crucial for this role, make sure to illustrate your ability to explain complex technical information clearly. You can do this by including examples where you've successfully communicated technical concepts to non-technical stakeholders.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements and values of Sporting Solutions. Mention your eagerness to learn and adapt to new technologies, as well as your interest in working in an agile delivery environment.
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 to solve problems or create models.
✨Understand the Sports Betting Industry
Research the sports betting industry and be prepared to discuss its dynamics. Showing a solid understanding of sports trading and modeling will set you apart from other candidates.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Excellent communication skills are essential, so be ready to demonstrate how you can translate intricate methodologies to non-technical stakeholders.
