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- Tasks: Design and develop software for trading signal research using Python and C++.
- Company: Join Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Enjoy a collaborative culture, flexible work options, and initiatives for work-life balance.
- Why this job: Work with cutting-edge technology and large datasets in a fast-paced, innovative environment.
- Qualifications: 5+ years of coding experience, strong skills in Python/C++, and a passion for technology.
- Other info: QRT values diversity and offers a supportive workplace for all employees.
The predicted salary is between 48000 - 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
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
Familiarise yourself with the latest trends in quantitative finance and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the quantitative finance space, especially those who work with Qube Research & Technologies. Attend industry conferences or webinars where you can meet potential colleagues and learn more about their work culture.
✨Tip Number 3
Brush up on your Python and C++ skills by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your coding abilities but also provide you with concrete examples to discuss during interviews.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical coding challenges or technical assessments. Practising these types of problems can help you feel more confident and ready to tackle similar tasks during the hiring process.
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. Familiarise yourself with the technologies mentioned, such as Python, C++, and machine learning, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in software development, particularly in Python and C++. Mention any projects or roles where you've worked with large datasets, high-performance computing, or machine learning models to demonstrate your suitability for the role.
Showcase Problem-Solving Skills: Quantitative Developers need strong problem-solving abilities. Include specific examples in your application that illustrate how you've tackled complex challenges in previous roles, especially those related to coding and algorithm implementation.
Craft a Tailored Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your passion for technology and quantitative research. Make sure to mention why you are interested in Qube Research & Technologies and how you align with their culture of innovation.
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 Company Culture
Familiarise yourself with Qube Research & Technologies' collaborative mindset and culture of innovation. Be ready to discuss how you can contribute to their goals and work effectively within a team.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Prepare examples of challenges you've faced in previous roles and how you approached them, particularly in high-performance computing or machine learning contexts.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the types of projects you would be working on and how the research team collaborates with developers to enhance trading strategies.
