At a Glance
- Tasks: Join a team to design trading algorithms and develop predictive signals using real-world data.
- Company: Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Mentorship from experts, collaborative culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace focused on innovation and work-life balance.
- Why this job: Make a real impact by translating theory into practice in a fast-paced environment.
- Qualifications: PhD or final-year PhD student in a quantitative field with Python proficiency.
The predicted salary is between 80000 - 98000 £ per year.
Eligible candidates: Final-year PhD students or postdoctoral researchers.
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 our 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.
Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software.
Your future role within QRT: You will join a team of quantitative researchers to learn how to design trading algorithms in a real-world data environment – a fast track to become a seasoned quantitative researcher. Surrounded by peers who have successfully transitioned from academia to applied research, you will receive mentorship from experienced professionals who will help you translate your theoretical expertise into real-world impact. The research environment at QRT is designed to be collaborative and intellectually stimulating.
Within one of QRT’s systematic teams - spanning high, mid, and low-frequencies - your core objective will be to develop high-quality predictive signals:
- Leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities.
- Collaborate with fellow researchers to exchange ideas and refine methodologies.
- Translate theoretical models into production-ready signals.
- Lead the full research cycle - from idea generation to implementation.
Your present skillset:
- Holding or pursuing a PhD (final year) degree in a quantitative field such as statistics, mathematics, physics, biology, computer science, or engineering.
- A pragmatic attitude towards translating theoretical models into real-world data problems.
- Proficiency in Python (preferred) or another leading programming language such as R, MATLAB, C++, or C#.
- Experience working with large datasets across multiple time frames (a plus).
- Ability to multitask in a fast-paced environment with attention to detail.
- Intellectual curiosity to explore new data, solve complex problems, and connect ideas across disciplines.
- Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.
- Strong communication skills.
- Fluency in English (additional languages are a plus).
Interviewing: Apply online. All applications are reviewed by our Talent Acquisition Team, on a rolling basis. Interviews are conducted on-site or via Teams, assessing both your technical expertise and alignment with our collaborative culture.
We invite candidates for the Quantitative Research position to take part in one of our Data Challenges. This task is designed to give you insight into the daily responsibilities of the role and allows us to assess your abilities and interest.
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 to achieve a healthy work-life balance.
Quantitative Researcher – PhD & Postdoc Opportunities in London employer: Dormont Manufacturing Co
Qube Research & Technologies (QRT) is an exceptional employer for aspiring quantitative researchers, offering a dynamic and collaborative work environment in the heart of a global investment management firm. With a strong emphasis on mentorship and professional development, employees are empowered to translate their academic expertise into impactful real-world applications while enjoying a culture that values innovation and diversity. Located in a vibrant city, QRT provides access to cutting-edge technology and vast datasets, ensuring that team members can thrive both personally and professionally.
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