---
title: 'Quantitative Researcher – PhD & Postdoc Opportunities at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/quantitative-researcher-phd-postdoc-opportunities-qube-research-technologies-0yfrzkmv04kh'
type: 'job'
last_seen: '2026-09-05'
---

# Quantitative Researcher – PhD & Postdoc Opportunities at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** London, United Kingdom
- **Posted:** 2025-09-05
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8154555002

## Job description

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: https://challengedata.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

## About Qube Research & Technologies

## Company Overview
- **One-liner**: Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager that deploys data, research, and technology to execute multi-strategy trading across all asset classes.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: London, United Kingdom
- **Founded**: 2018 (spun off from a systematic trading team at Credit Suisse, with roots tracing to 2016)
- **Founders**: Not publicly disclosed (spun out of Credit Suisse's systematic trading team)

## Core Business
- **Primary industry**: Financial Services / Quantitative Hedge Fund / Systematic Investment Management
- **Target customers**: Institutional investors (pension funds, sovereign wealth funds, endowments, and other large allocators)
- **Mission/purpose**: To combine data, research, technology, and trading expertise to solve complex challenges and deliver high-quality returns for investors.

## Products & Services
- **Multi-Strategy Investment Management**: QRT deploys a diverse range of investment strategies across geographies, asset classes (equities, fixed income, FX, commodities, crypto), and time frames (high-frequency to long-term). They operate as a systematic, data-driven hedge fund.
- **Quantitative Research & Technology Platform**: The firm's core offering is its proprietary technology and research platform, which enables quantitative researchers, data scientists, and software engineers to develop and execute trading models at scale.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held)
- **Key Metric**: Total Funding: Not applicable (privately held, profitable firm). **Assets Under Management (AUM)**: Added $4bn in AUM between the start of 2024 and May 2024, returning 22% from January to April 2024 according to reports.
- **Notable Investors/Partners**: Institutional investors (pension funds, sovereign wealth funds, endowments). Spun off from Credit Suisse's systematic trading team.
- **Growth Signals**: Headcount grew **+56.4% YoY** to 1,787 employees. Expanded to 16 offices across 24 countries (including new offices in Dubai, Chicago, and New York). Over 100 active job openings. AUM grew significantly in 2024.

## Competitive Advantages
- **Data & Technology Moat**: Combines proprietary research, massive datasets, and advanced technology (including machine learning, low-latency C++/FPGA systems, and cloud infrastructure) to generate alpha across all asset classes and timeframes.
- **Multi-Strategy, Multi-Asset Diversification**: Operates across geographies, asset classes, and time horizons, reducing single-strategy risk and allowing capital to flow to the best opportunities.
- **Talent Density & Culture**: Rapidly hires top talent from competitors (Goldman Sachs, Citadel, Millennium, Credit Suisse) and top universities. A young, high-performance culture with 74% of staff aged 40 or under.
- **Compensation Model**: Over 40% of staff are part of a deferred compensation plan with exposure to fund performance, aligning employee incentives directly with investor returns.

## Strategic Focus
- **Aggressive Global Expansion**: Rapidly scaling headcount (+56% YoY) and opening new offices in key financial hubs (Dubai, Chicago, New York, Singapore, Hong Kong).
- **Technology & Infrastructure Investment**: Heavy investment in low-latency trading systems, FPGA engineering, cloud infrastructure, and data platforms (Snowflake, Python, C++, C#).
- **Talent Acquisition**: Prioritizing hiring top quantitative researchers, software engineers, data scientists, and traders from competitors and top universities. Over 100 open roles globally.
- **Crypto & New Asset Classes**: Actively building a crypto trading team and expanding into new asset classes and geographies.

## Why Work Here
- **Compensation & Career Growth**: Highly competitive pay. Interns can earn around $12k per month. Over 40% of staff are in a deferred compensation plan with exposure to fund performance. Glassdoor rating of 4.1/5.0, with compensation (4.0) and career opportunities (4.1) as top highlights.
- **Culture & Demographics**: Young, high-performance culture (74% of staff aged 40 or under, 38% aged 30 or under). 90% of staff reported good team morale in an internal survey. Described as a "fertile ground for experimental research."
- **Work Environment**: Hybrid/office-based depending on role and location. Offices in London (HQ), Paris, Hong Kong, Singapore, New York, Chicago, Dubai, Mumbai, Geneva, and more. New London office in Victoria.
- **Notable Perks**: Deferred compensation plan with fund performance exposure. Interns can earn around $12k per month. Strong focus on work-life balance initiatives.
- **Engineering Culture**: Heavy emphasis on technology (Python, C++, C#, Snowflake, FPGA, low-latency systems, MLflow, Kubernetes). 22% of staff are in Research roles, 6% in Technical roles. Strong support for coding initiatives and academic projects in maths and science.

## Sources
1. [qube-rt.com](https://www.qube-rt.com/)
2. [LinkedIn](https://www.linkedin.com/company/qube-rt)
3. [efinancialcareers-canada.com](https://www.efinancialcareers-canada.com/news/qube-research-and-technologies-hiring-and-culture)
4. [Greenhouse Job Board](http://job-boards.greenhouse.io/quberesearchandtechnologies?page=2)
5. [Careers Page](https://www.qube-rt.com/careers)

## Other roles at Qube Research & Technologies

- [Business Analyst – Limits and Execution](https://feeny.ai/job/business-analyst-limits-and-execution-qube-research-technologies-mumbai-qq5fgv91hxfx) — Mumbai, India
- [Software Engineer - Electronic Trading Systems](https://feeny.ai/job/software-engineer-electronic-trading-systems-qube-research-technologies-hong-fsg803xb5ree) — Hong Kong, China / Sydney, Australia
- [Low Latency Developer, C++](https://feeny.ai/job/low-latency-developer-c-qube-research-technologies-hong-kong-vv44w4ar2skh) — Hong Kong, China
- [Quantitative Developer - Digital Assets (C++)](https://feeny.ai/job/quantitative-developer-digital-assets-c-qube-research-technologies-london-qr0tjnh5pv93) — London, United Kingdom
- [Quantitative Data Engineer](https://feeny.ai/job/quantitative-data-engineer-qube-research-technologies-london-sqh05kp1zjyd) — London, United Kingdom
- [Principle Network Engineer](https://feeny.ai/job/principle-network-engineer-qube-research-technologies-london-e18hxmn97my0) — London, United Kingdom
- [Network Architecture Lead](https://feeny.ai/job/network-architecture-lead-qube-research-technologies-london-bngfdznaq335) — London, United Kingdom
- [Production Trading Services – Electronic Trading](https://feeny.ai/job/production-trading-services-electronic-trading-qube-research-technologies-sydney-gvtc6606jtvj) — Sydney, Australia
- [Head of Networks](https://feeny.ai/job/head-of-networks-qube-research-technologies-london-357r02f7phnc) — London, United Kingdom
- [Production Support Engineer — LLM Platform](https://feeny.ai/job/production-support-engineer-llm-platform-qube-research-technologies-hong-kong-rsp4vmtknkpf) — Hong Kong, China