Quantitative Researcher – PhD & Postdoc Opportunities

The role

You will join a team of quantitative researchers to design trading algorithms in a real-world data environment. You will develop high-quality predictive signals by leveraging vast datasets and translating theoretical models into production-ready signals.

What you will do

• 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.

Required qualifications

• 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 or another leading programming language such as R, MATLAB, C++, or C#.
• 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

Nice to have

• Proficiency in Python
• Experience working with large datasets across multiple time frames
• Additional languages

Benefits

• Initiatives and programs to enable employees achieve a healthy work-life balance

Before you apply

• Applications are reviewed by our Talent Acquisition Team on a rolling basis.
• Interviews are conducted on-site or via Teams.
• Candidates take part in one of our Data Challenges to assess abilities and interest.

About the company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all liquid asset classes. It is a technology and data driven group implementing a scientific approach to investing.