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- Tasks: Join a team to develop and optimise a cutting-edge trading platform using Python.
- Company: Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Competitive salary, work-life balance initiatives, and a diverse, inclusive culture.
- Why this job: Make an impact in finance by building innovative solutions for real-world trading challenges.
- Qualifications: Strong Python skills and experience with data-intensive workflows; familiarity with financial markets is a plus.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join a development team responsible for the end-to-end signal strategy platform used to support both intra-day and extra-day trading strategies. The team builds the core research libraries, submission pipelines, and production platform for deploying signal-based models. This is a cross-functional role with a strong focus on researcher experience, platform scalability, and performance optimisation.
Your future role within QRT:
- Contribute to the core Python framework used by researchers to develop, test, and validate trading strategies.
- Build and maintain submission pipelines and validation processes for strategy onboarding.
- Design, scale, and monitor the production platform that executes live signal-based strategies.
- Work closely with stakeholders to prioritise platform features and ensure user needs are met.
- Continuously improve system performance and platform reliability through engineering best practices.
Requirements:
- Strong Python development skills, with experience in building libraries, APIs, and tooling for data-intensive workflows.
- Excellent written and verbal communication skills, including experience writing user-facing documentation and supporting internal users.
- Familiarity with financial markets and signal-based strategies, with the ability to translate trading needs into technical features.
- Experience with system design and architecture to support scalable, production-grade platforms.
- Strong CI/CD and DevOps mindset, with experience in automation, testing, and release pipelines.
- Knowledge of performance engineering and experience with low-level programming languages such as Rust or C for optimisation is a plus.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Quantitative Developer - Python employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with QRT employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading strategies or data-intensive workflows. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and performance optimisation. Practice coding challenges and be ready to discuss how you've tackled similar problems in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the QRT team.
We think you need these skills to ace Quantitative Developer - Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your Python skills and any experience with financial markets or signal-based strategies. We want to see how your background aligns with what we do at QRT!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative development and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially in building libraries or APIs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Qube Research & Technologies
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building libraries, APIs, and tooling for data-intensive workflows. Practising coding challenges can help you demonstrate your proficiency.
✨Understand the Financial Markets
Familiarise yourself with financial markets and signal-based strategies. Being able to translate trading needs into technical features will show that you understand the role's context and can contribute effectively from day one.
✨Showcase Your Communication Skills
Since this role involves working closely with stakeholders, be prepared to discuss how you've communicated complex technical concepts in the past. Highlight any experience you have in writing user-facing documentation or supporting internal users.
✨Emphasise Your CI/CD and DevOps Experience
Talk about your experience with automation, testing, and release pipelines. QRT values a strong CI/CD and DevOps mindset, so sharing specific examples of how you've implemented these practices will set you apart from other candidates.
