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: Conducted on-site or via Teams, they assess 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: Challenge data

(ens.fr)

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

Role

Quantitative Researcher – PhD & Postdoc Opportunities

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