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- Tasks: Develop quantitative models for sports trading and enhance price accuracy.
- Company: Join Sporting Solutions, a leader in sports betting technology and trading.
- Benefits: Enjoy hybrid working, competitive salary, gym membership, and generous bonuses.
- Why this job: Be part of an agile team focused on innovation and continuous improvement.
- Qualifications: A STEM degree and programming skills in C#, Python, or R are essential.
- Other info: Flexible working policy with 25 holidays and a day off for your Birthday.
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
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
Compensation Analyst - Hybrid working employer: Sporting Solutions
Contact Detail:
Sporting Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Compensation Analyst - Hybrid working
✨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 about the latest developments in the industry.
✨Tip Number 4
Prepare to discuss your experience with statistical and machine learning modelling techniques. Be ready to share specific examples of how you've applied these skills in previous roles or projects, as this will demonstrate your expertise and fit for the position.
We think you need these skills to ace Compensation Analyst - Hybrid working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical background and programming skills, particularly in C#, Python, and R. Emphasise any experience you have with statistical and machine learning modelling techniques.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to develop quantitative models and tools, and how you can contribute to the QTS team.
Showcase Relevant Experience: Include examples of previous work where you've built mathematical models or created visualisation tools. Highlight any collaborative projects that involved building relationships across teams, as this is important for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Compensation Analyst.
How to prepare for a job interview at Sporting Solutions
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in languages like C#, Python, or R during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in building mathematical models or using statistical techniques.
✨Demonstrate Your Analytical Thinking
As a Compensation Analyst, you'll need strong analytical abilities. Prepare to discuss how you've approached problem-solving in past roles, particularly in developing quantitative models or methodologies. Use examples that showcase your ability to adapt and improve processes.
✨Understand the Business Context
Familiarise yourself with the sports betting industry and the role of quantitative analysis within it. Being able to discuss how your work can impact trading models and performance will show your potential employer that you're not just technically skilled but also understand the business priorities.
✨Build Rapport with Interviewers
Since building strong relationships across teams is crucial, practice engaging with your interviewers. Ask insightful questions about their experiences and the company culture. This will demonstrate your interpersonal skills and your enthusiasm for collaboration.
