Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 working, competitive salary, gym membership, and generous bonuses.
- Why this job: Be part of an innovative team focused on continuous improvement and learning.
- Qualifications: A STEM degree and programming skills in C#, Python, or R are essential.
- Other info: Work hybrid with 2 days in London and 3 days from home.
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.
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 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.
- Adapt model features and content in line with business priorities
- Create statistical and machine learning models to expand and enhance model performance
- Assist in development of new data driven methodologies
- Create and maintain visualisation and analysis tools for stakeholders around the business
- Building strong relationships across the business with other teams
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
Experience of building mathematical models
Get rewarded: competitive salary and generous company bonus
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.
Company events, Company pension, Cycle to work scheme, Discounted or free food, Employee discount, Gym membership, On-site gym, Private dental insurance, Private medical insurance, Sick pay, Work from home.
Implementation Analyst (Hybrid) employer: Sporting Solutions
Contact Detail:
Sporting Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Implementation Analyst (Hybrid)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and sports betting technology. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in C#, Python, and R. Consider working on personal projects or contributing to open-source projects that showcase your ability to build mathematical models and tools.
✨Tip Number 3
Network with professionals in the sports betting and quantitative analysis fields. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at Sporting Solutions.
✨Tip Number 4
Prepare to discuss your experience with statistical and machine learning techniques. Be ready to provide examples of how you've applied these methods in previous projects, as this will demonstrate your practical knowledge and problem-solving skills.
We think you need these skills to ace Implementation Analyst (Hybrid)
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Implementation Analyst position. Make sure you understand the key responsibilities, required skills, and the technologies mentioned, such as C#, Python, and R.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your mathematical background, programming skills, and any experience with statistical or machine learning models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to contribute to the QTS team and your eagerness to learn new technologies.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to build strong relationships across teams and your experience in agile environments. This will show that you are not only technically proficient but also a great team player.
How to prepare for a job interview at Sporting Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in languages like C#, Python, and R. Bring examples of projects or models you've worked on that demonstrate your proficiency and how you’ve applied these skills in real-world scenarios.
✨Demonstrate Your Mathematical Expertise
Since a strong mathematical background is crucial for this role, be ready to talk about your academic achievements and any relevant experience in building mathematical models. Highlight specific techniques or methodologies you've used in your previous work.
✨Emphasise Continuous Learning
The company values individuals who are eager to learn and adapt. Share instances where you've taken the initiative to learn new technologies or methodologies, and express your enthusiasm for staying updated with industry trends.
✨Build Relationships
As the role involves collaborating with various teams, discuss your experience in building strong working relationships. Provide examples of how you've successfully worked with others to achieve common goals, especially in an agile environment.
