At a Glance
- Tasks: Transform mathematical models into high-performance software and collaborate with a skilled team.
- Company: Join a leading creator of innovative sports betting software, serving over 160 global operators.
- Benefits: Enjoy a dynamic work environment, career growth opportunities, and a mix of office and remote work.
- Why this job: Work on cutting-edge technology in a passionate team while making an impact in the sports betting industry.
- Qualifications: Degree in Computer Science or STEM, proficient in C/C++/Rust, and strong mathematical skills required.
- Other info: Based in central London, with a salary range of £35,000 - £45,000 depending on experience.
The predicted salary is between 35000 - 45000 £ per year.
Talented graduate with a passion for sports and a drive for innovation. Our client is a leading creator of proprietary software and algorithms - used at the forefront of bet builder and same game parlay products in the sports betting industry. They provide services to over 160 operators globally, with plans in 2025 to expand across new innovative products and markets. They are seeking exceptional candidates who are passionate about high performance software development. This is an exciting period of growth for the business, providing a unique opportunity for candidates to work directly with the founders and a small technically focussed team to build knowledge and skills in multiple areas.
Responsibilities
- Turning mathematical models into high performance software
- Monitoring performance through our external metrics and local performance testing
- Researching and communicating new ideas to other developers and quants
- Modify existing models to meet new customer requirements such as new market types or performance requirements
Essential skills
- Degree in Computer Science or STEM subject
- Proficient in a low level programming language such as C, C++ or Rust programming language
- Strong mathematical background
- Comfortable working in a Linux environment
Desirable Skills
- History of performance testing and benchmarking using tools such as perf and valgrind
- Comfortable exploring compiler assembly output
- Knowledge of statistical modelling and probability theory
- Interested in sports
- Familiarity with sport betting
Why Join
- Be part of a leading company in the gaming and gambling industry
- Work on cutting-edge technology and innovative projects
- Collaborate with a team of passionate and skilled professionals
- Enjoy a dynamic and supportive work environment with opportunities for career growth
Location
The role is based in central London, with 4 days in the office and one day WFH. Salary in region of £35,000 - £45,000 based on experience.
Junior Quantitative Developer (City of London) employer: Firinne Solutions
Contact Detail:
Firinne Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Developer (City of London)
✨Tip Number 1
Familiarise yourself with the latest trends in sports betting technology. Understanding the current innovations and challenges in the industry will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the sports betting and software development sectors. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Brush up on your programming skills, especially in C, C++, or Rust. Consider working on personal projects or contributing to open-source projects that showcase your ability to turn mathematical models into high-performance software.
✨Tip Number 4
Prepare to discuss your mathematical background and how it applies to software development. Be ready to explain how you've used statistical modelling or probability theory in past projects, as this will be crucial for the role.
We think you need these skills to ace Junior Quantitative Developer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your degree in Computer Science or a related STEM subject. Emphasise any experience you have with low-level programming languages like C, C++, or Rust, as well as your mathematical background.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and innovation. Mention specific projects or experiences that demonstrate your skills in software development and your interest in the sports betting industry.
Showcase Relevant Skills: If you have experience with performance testing tools like perf or valgrind, be sure to include this in your application. Highlight any familiarity with statistical modelling and probability theory, as these are desirable skills for the role.
Research the Company: Familiarise yourself with the company's products and their impact on the sports betting industry. Understanding their innovative approach will help you articulate why you want to join their team and how you can contribute.
How to prepare for a job interview at Firinne Solutions
✨Show Your Passion for Sports
Since the role is in the sports betting industry, make sure to express your enthusiasm for sports. Share any relevant experiences or projects that highlight your interest and knowledge in this area.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in low-level programming languages like C, C++, or Rust. You might be asked to solve coding problems or explain your previous projects, so brush up on your technical knowledge and be ready to showcase your skills.
✨Highlight Your Mathematical Background
Given the emphasis on mathematical models, be ready to discuss your understanding of statistical modelling and probability theory. Prepare examples of how you've applied these concepts in your studies or previous work.
✨Familiarise Yourself with Performance Testing
If you have experience with performance testing tools like perf or valgrind, make sure to mention it. If not, do some research on these tools and be ready to discuss their importance in software development, especially in high-performance environments.