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- 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 operators globally.
- 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 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.
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 employer: Firinne Solutions
Contact Detail:
Firinne Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in sports betting technology. Understanding the current innovations and challenges in the industry will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Brush up on your programming skills, especially in C, C++, or Rust. Consider working on personal projects or contributing to open-source software that showcases your ability to turn mathematical models into high-performance code.
✨Tip Number 3
Network with professionals in the sports tech industry. Attend relevant meetups or online forums where you can connect with developers and quants, which may lead to valuable insights and potential referrals.
✨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 performance testing in past projects, as this will demonstrate your capability for the role.
We think you need these skills to ace Junior Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your degree in Computer Science or a STEM subject, and emphasises your proficiency in low-level programming languages like C, C++, or Rust. Include any relevant projects or experiences that showcase your mathematical background and familiarity with Linux.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and innovation. Mention specific examples of how you've turned mathematical models into software or any experience you have with performance testing and benchmarking tools. This is your chance to show your enthusiasm for the role and the company.
Showcase Relevant Skills: Highlight any experience you have with statistical modelling, probability theory, or sports betting. If you have worked on projects involving performance testing or compiler assembly output, make sure to include those details as they align with the desirable skills mentioned in the job description.
Proofread and Submit: Before submitting your application, carefully proofread all your documents to ensure there are no errors. Make sure your application is complete and that you’ve followed any specific instructions provided in the job listing. Then, submit your application through our website to ensure it reaches the right people.
How to prepare for a job interview at Firinne Solutions
✨Show Your Passion for Sports
Since the company operates in the sports betting industry, it's crucial to express your enthusiasm for sports during the interview. Share any relevant experiences or insights that demonstrate your interest and knowledge in this area.
✨Highlight Your Technical Skills
Be prepared to discuss your proficiency in low-level programming languages like C, C++, or Rust. Bring examples of projects or coursework where you've applied these skills, especially in a Linux environment.
✨Demonstrate Your Mathematical Background
Given the role's focus on turning mathematical models into software, be ready to talk about your mathematical knowledge. Discuss any relevant coursework or projects that showcase your understanding of statistical modelling and probability theory.
✨Prepare for Performance Testing Questions
Since performance testing is a desirable skill, review tools like perf and valgrind. Be ready to explain how you've used these tools in past projects or how you would approach performance testing in this role.
