At a Glance
- Tasks: Partner with traders to create analytical tools and explore alternative datasets.
- Company: Global leader in quantitative investment, driven by technology and data.
- Benefits: Competitive salary, work-life balance initiatives, and a diverse workplace.
- Other info: Dynamic environment with opportunities for professional growth.
- Why this job: Join a culture of innovation and make an impact in trading strategies.
- Qualifications: Proficient in Python with 3+ years in software engineering.
The predicted salary is between 60000 - 80000 £ 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.
Your future role within QRT:
- Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring.
- Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities.
Your current skillset:
- Strong proficiency in Python, with solid software engineering fundamentals.
- Experience building, deploying, and supporting production-grade Python applications.
- Ability to prioritize effectively and operate autonomously in a dynamic environment.
- Strong collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders.
- 3+ years of professional experience in software engineering or a related field.
Nice to have:
- Previous experience in finance, ideally within a hedge fund or trading environment.
- Familiarity with AWS or similar cloud platforms.
- Experience building dashboards or working with data visualization tools.
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: Quberesearchandtechnologies
At Qube Research & Technologies, we pride ourselves on being a forward-thinking employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our supportive work environment, where you can partner with talented professionals and contribute to cutting-edge projects in a dynamic setting. With a focus on work-life balance and diversity, QRT offers a unique opportunity for meaningful engagement in the fast-paced world of quantitative finance.
Contact Details:
Quberesearchandtechnologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - Python
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We think you need these skills to ace Quantitative Developer - Python
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Quberesearchandtechnologies.
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How to prepare for a job interview at Quberesearchandtechnologies
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Quberesearchandtechnologies uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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