Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop software tools for trading signal research using Python and C++.
- Company: Qube Research & Technologies is a global leader in quantitative investment management.
- Benefits: Enjoy a collaborative culture, work-life balance initiatives, and opportunities for professional growth.
- Why this job: Join a fast-paced team that values innovation and tackles complex challenges in finance.
- Qualifications: 5+ years of coding experience with strong skills in Python and/or C++ required.
- Other info: QRT promotes diversity and offers a supportive environment for all employees.
The predicted salary is between 43200 - 72000 £ 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:
As a Quantitative Developer – Research Team, you will play a crucial role in designing, developing, and supporting the software infrastructure that underpins our trading signal research. You will collaborate closely with quantitative researchers and traders, contributing to the continuous enhancement of our trading strategies. This role offers the opportunity to work with large datasets, high-performance computing (HPC), and machine learning models, in a fast-paced, intellectually stimulating environment.
Key Responsibilities:
- Design, develop, and maintain Python and C++ based tools and applications used for quantitative research and trading signal generation.
- Partner with researchers and traders to understand their requirements and translate them into effective technical solutions.
- Manage the ingestion and processing of large volumes of data efficiently and securely.
- Implement algorithms and models, including linear regressions and machine learning techniques, to support trading strategies.
- Utilize HPC and distributed systems to ensure high performance, scalability, and reliability of applications.
- Provide ongoing support, troubleshooting, and optimization for existing tools and systems.
Your present skillset:
- 5+ year track record of solving challenging problems through coding.
- A deep passion for technology, software development, and mathematics.
- Strong software development skills in Python and/or C++.
- Experience with some of the following areas: Distributed Computing, Machine Learning, Platform Development, System Design, and/or Web Development.
- Proven leadership and mentoring abilities with a self-directed approach to work.
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.
#J-18808-Ljbffr
Quantitative Developer - Research Team employer: Qube Research & Technologies Limited
Contact Detail:
Qube Research & Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Research Team
✨Tip Number 1
Familiarize yourself with the specific technologies and tools mentioned in the job description, such as Python, C++, and machine learning frameworks. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Engage with the quantitative finance community online. Participate in forums, attend webinars, or join relevant groups on platforms like LinkedIn. This can help you network with professionals in the field and gain insights into the latest trends and challenges.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of how you've tackled complex coding challenges or optimized systems in your previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Showcase your collaborative skills by highlighting any past experiences where you've worked closely with researchers or traders. Emphasizing your ability to translate technical requirements into effective solutions will resonate well with the team-oriented culture at QRT.
We think you need these skills to ace Quantitative Developer - Research Team
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Developer position. Familiarize yourself with the technologies mentioned, such as Python, C++, and machine learning.
Tailor Your CV: Customize your CV to highlight relevant experience in software development, particularly in Python and C++. Include specific projects or achievements that demonstrate your problem-solving skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and mathematics. Explain how your background aligns with QRT's mission and culture of innovation, and express your enthusiasm for contributing to their trading strategies.
Highlight Collaborative Experience: Since the role involves working closely with researchers and traders, emphasize any past experiences where you collaborated on technical solutions or projects. This will demonstrate your ability to work in a team-oriented environment.
How to prepare for a job interview at Qube Research & Technologies Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++. Highlight specific projects where you've solved complex problems using these languages, especially in the context of quantitative research or trading.
✨Understand the Role of Collaboration
Emphasize your ability to work closely with quantitative researchers and traders. Share examples of how you've successfully translated technical requirements into effective solutions in previous roles.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss your methodology for tackling challenging problems. Use examples that showcase your analytical thinking and how you apply algorithms and machine learning techniques in practical scenarios.
✨Familiarize Yourself with HPC and Distributed Systems
Since the role involves high-performance computing, make sure you understand the basics of HPC and distributed systems. Be ready to discuss any relevant experience you have in optimizing applications for performance and scalability.
