London•Posted: May 8•Deadline: Aug 16
Your future role within QRT
* Your core objective is to create high quality predictive signals.
* By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
* Share and discuss research results, methodology, data sets and processes with other researchers.
* Implement the signals and the relevant datasets within the global execution platform.
* Monitor signal behaviour and model performance over time.
* You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
* Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
* Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
* Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
* Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
* Experience in exploring large datasets across multiple time frames is a plus.
* Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots
between multiple fields.
* Capacity to work with autonomy within a collegial and collaborative environment.
* Strong capacity to communicate with technologists, data scientists and traders across the globe.
* Proven track record in delivering successful systematic strategies.
London•Posted: May 8•Deadline: Aug 16
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.
QRT Academy advances research and research projects within QRT and with academic institutions, delivers technical training across
research, technology, and trading, and, in collaboration with other functions, leads QRT’s engagement with the academic community.
Your future role within QRT
* Design, run, and scale mathematical problem-solving challenges, competitions, and interactive academic events across leading
universities.
* Work closely with researchers, traders, and the talent team to design original mathematical problems, logic puzzles, and
quantitative challenges that reveal how candidates think and reason under uncertainty, as well as trading games and hackathons.
* Experiment with and deliver new formats for academic engagement, including online, hybrid, and in-person initiatives, with a
focus on creative and diagnostic challenge design.
* Build and maintain relationships with students, societies, and academic departments.
* Act as an ambassador to the academic community, contributing to and shaping the firm’s long-term outreach and challenge-design
strategy.
Your present skillset
* Strong education in mathematics or a closely related quantitative field (e.g. statistics, machine learning, finance,
computational finance).
* Deep interest in mathematical problem-solving, puzzles, and logical reasoning, with curiosity about how intuition, judgement,
and abstraction can be assessed through well-designed challenges.
* Experience with Olympiads, mathematics competitions, programming challenges, or trading games is highly valued.
* Creative mindset with the ability to design elegant, insightful mathematical challenges, not just technically difficult ones.
* Strong written and verbal communication skills, with the ability to explain complex ideas clearly.
* Organised, proactive, and comfortable owning projects end-to-end.
* Experience with student societies, teaching, or outreach programmes is helpful.
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.
London•Posted: May 8•Deadline: Aug 16
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
