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For Companies At a Glance
- Tasks: Join a team to design trading algorithms and analyse vast datasets.
- Company: Qube Research & Technologies, a global leader in quantitative investment.
- Benefits: Mentorship from experts, collaborative culture, and a focus on work-life balance.
- Why this job: Transform your academic knowledge into impactful real-world solutions.
- Qualifications: PhD or final-year student in a quantitative field; Python skills preferred.
- Other info: Dynamic research environment with opportunities for professional growth.
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 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.
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.
Responsibilities and Qualifications- 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.
- 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.
- Fluency in English (additional languages are a plus).
Interview Process
- Apply online: All applications are reviewed by our Talent Acquisition Team, on a rolling basis.
- Interviews: Conducted on-site or via Teams, they assess both your technical expertise and alignment with our collaborative culture.
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.
Seniority Level: Entry level
Employment Type: Temporary
Job Function: Research
Quantitative Researcher – PhD & Postdoc Opportunities employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – PhD & Postdoc Opportunities
✨Tip Number 1
Get your networking game on! Connect with professionals in the quantitative research field through LinkedIn or relevant conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Prepare for those interviews like a pro! Brush up on your technical skills and be ready to discuss your research projects. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your passion for data and research! During interviews, share your excitement about tackling complex problems and how you’ve applied your theoretical knowledge in practical scenarios. We love seeing candidates who are genuinely enthusiastic.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by our Talent Acquisition Team. Plus, it shows you’re serious about joining QRT and being part of our innovative culture.
We think you need these skills to ace Quantitative Researcher – PhD & Postdoc Opportunities
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for working with data! Share specific examples of how you've used data in your research or projects. This will help us understand your genuine interest in the role.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight relevant skills and experiences that align with our focus on quantitative research and technology. We want to see how you fit into our collaborative culture!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Qube Research & Technologies!
How to prepare for a job interview at Qube Research & Technologies
✨Know Your Data
Make sure you’re familiar with the datasets relevant to Qube Research & Technologies. Brush up on how to identify statistical patterns and market opportunities, as this will likely come up in your interview. Being able to discuss specific examples of your experience with large datasets will show your practical understanding.
✨Brush Up on Your Coding Skills
Since proficiency in Python or similar programming languages is key, take some time to review your coding skills. Be prepared to solve coding problems or discuss your previous projects involving algorithm design. Practising common coding challenges can help you feel more confident during technical assessments.
✨Show Your Collaborative Spirit
QRT values a collaborative culture, so be ready to share examples of how you’ve worked effectively in teams. Think about times when you exchanged ideas or refined methodologies with peers. Highlighting your ability to work autonomously while also thriving in a team setting will resonate well with the interviewers.
✨Prepare for Theoretical to Practical Translation
You’ll need to demonstrate your ability to translate theoretical models into real-world applications. Prepare to discuss your research and how it can be applied in a practical context. This could involve explaining your thought process behind a project or how you approached a complex problem using your academic knowledge.
