--- title: 'C++ Developer – ETF Technology & Infrastructure at Qube Research & Technologies' canonical: 'https://feeny.ai/job/c-developer-etf-technology-infrastructure-qube-research-technologies-new-york-vkcqnfd3jbmz' type: 'job' last_seen: '2026-10-24' --- # C++ Developer – ETF Technology & Infrastructure at Qube Research & Technologies - **Company:** Qube Research & Technologies - **Location:** New York, NY - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-10-24 - **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8857670002 ## Job description Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes worldwide. We are a technology- and data-driven group that applies a scientific approach to investing. Our collaborative culture brings together research, engineering, and financial markets expertise to solve complex challenges and build high-quality, scalable technology. We are looking for a C++ Developer to join our ETF technology team. You will design and build core platforms, services, and infrastructure supporting QRT's capabilities in the ETF space. This is an opportunity to develop robust, high-performance systems and end-to-end workflows while collaborating with engineers, researchers, and business stakeholders. ## Your Future Role within QRT - Design and develop high-performance C++ applications and services supporting ETF-related platforms and infrastructure. - Build reusable platform components for data processing, messaging, connectivity, workflow orchestration, and system integration. - Develop reliable services for handling real-time and reference data from multiple internal and external sources. - Design automated, event-driven solutions for complex, multi-stage business workflows. - Create well-controlled systems with appropriate validation, auditability, monitoring, and operational tooling. - Improve the performance, resilience, scalability, and observability of production systems. - Integrate new components with QRT's broader technology and data ecosystem. - Collaborate with engineers, researchers, and business stakeholders to translate requirements into well-architected and maintainable solutions. - Contribute to technical design, testing standards, code quality, and long-term platform strategy. ## Your Present Skillset - 7+ years of professional experience developing performance-sensitive applications in modern C++. - Strong knowledge of software engineering fundamentals, including algorithms, data structures, object-oriented design, and software architecture. - Experience with multithreaded, concurrent, and event-driven programming. - Strong experience developing and operating software on Linux. - Experience building reliable production systems that process real-time or high-volume data. - Experience designing APIs, messaging-based services, or integrations with external systems and data providers. - Understanding of distributed systems, failure handling, testing, monitoring, and production support. - Practical knowledge of the ETF ecosystem, including products, data, market structure, participants, conventions, and operational lifecycles. - Strong problem-solving and communication skills, with the ability to work effectively across technical and business teams. ## Nice to Have - Experience building technology within the ETF, asset management, investment banking, or broader financial markets space. - Familiarity with ETF reference data, pricing data, lifecycle events, and related operational processes. - Experience with market data feeds, financial messaging standards, connectivity protocols, or middleware technologies. - Experience designing and operating resilient distributed systems in production. - Familiarity with Python or another language used for tooling, integration, or data analysis. - Experience with cloud infrastructure, containerisation, CI/CD, and modern observability tools. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package. ## 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 - [Software Engineer – Site Reliability Engineering](https://feeny.ai/job/software-engineer-site-reliability-engineering-qube-research-technologies-london-eym0g9j6k3q7) — London, United Kingdom - [Software Engineer – Site Reliability Engineering](https://feeny.ai/job/software-engineer-site-reliability-engineering-qube-research-technologies-paris-4apgxxhjec80) — Paris, France - [Software Engineer – Site Reliability Engineering](https://feeny.ai/job/software-engineer-site-reliability-engineering-qube-research-technologies-new-kys9ere3tcjb) — New York, NY - [Senior Low-Latency C++ Software Engineer](https://feeny.ai/job/senior-low-latency-c-software-engineer-qube-research-technologies-new-york-bs03z5265yr9) — New York, NY - [AWS Cloud Network Engineer](https://feeny.ai/job/aws-cloud-network-engineer-qube-research-technologies-hong-kong-73aa9bhqa6ev) — Hong Kong, China - [Data Scientist - Macro](https://feeny.ai/job/data-scientist-macro-qube-research-technologies-paris-yge0ddqvxnga) — Paris, France - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-qube-research-technologies-london-1tmh1ythpq6k) — London, United Kingdom - [Windows Infrastructure Operations Engineer](https://feeny.ai/job/windows-infrastructure-operations-engineer-qube-research-technologies-new-york-9tv26rb98ywg) — New York, NY - [Data Scientist - Macro](https://feeny.ai/job/data-scientist-macro-qube-research-technologies-london-0vvezx6vzma1) — London, United Kingdom - [Infrastructure Linux Operations Engineer](https://feeny.ai/job/infrastructure-linux-operations-engineer-qube-research-technologies-new-york-17cxjv1gzfcf) — New York, NY