--- title: 'Quantitative Technologist – Treasury Analytics at Qube Research & Technologies' canonical: 'https://feeny.ai/job/quantitative-technologist-treasury-analytics-qube-research-technologies-london-0jz8ae4s474y' type: 'job' last_seen: '2026-09-05' --- # Quantitative Technologist – Treasury Analytics at Qube Research & Technologies - **Company:** Qube Research & Technologies - **Location:** London, United Kingdom - **Posted:** 2026-08-04 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8675550002 ## Job description QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Treasury Desk manages QRT’s funding, collateral, cash balances and counterparty relationships. The Treasury Analytics Team builds the data infrastructure and tools that support financing decisions and help the firm deploy capital efficiently. ## Your future role within QRT We are seeking an experienced Quantitative Technologist to support our Treasury Analytics Team by developing analytical tools that enhance trading decisions across asset classes. The role is expected to involve the following activities: - Design, develop and maintain production-grade analytical and trading applications for the Treasury Desk. - Build value-add analytics to optimise Treasury trading decisions across asset classes. - Work closely with Treasury stakeholders to understand trading requirements and translate them into scalable technical solutions. - Onboard and integrate new datasets to support trade idea generation, financing analysis and decision-making. - Design software architectures and data solutions that integrate the Treasury data ecosystem with the broader QRT technology platform. - Enhance existing analytics platforms by addressing performance bottlenecks, reducing read latency and improving system scalability. - Develop new technological capabilities, including real-time analytics and AI-enabled agent workflows. - Contribute across all stages of the software development lifecycle, from solution design and implementation through to testing, deployment and production support. - Continuously improve the Treasury Desk’s engineering standards, technical architecture and development practices. Your present skillset: - 3–5 years’ experience working as a Quantitative Developer, Quantitative Technologist or in a similar role - Strong quantitative skills and a solid understanding of financial markets - Good knowledge of fixed income products and markets - Demonstrable experience designing, building and supporting production-grade software systems - Strong understanding of software architecture, object-oriented design and common software design patterns - Strong database knowledge, including indexing, partitioning, caching and query optimisation - Comfortable contributing across all stages of the software development lifecycle - Demonstrable ability to communicate and collaborate effectively with technical and business stakeholders Desirable to have experience or a willingness to learn in the following areas: - Statistics, quantitative modelling or financial analytics - Cloud-native technologies, including AWS, Docker, Kubernetes and infrastructure automation - Real-time data processing and analytics - Financial data infrastructure and the integration of complex data ecosystems - Modern AI-assisted software development tools - Treasury, financing, collateral or liquidity management systems 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