---
title: 'Senior AI Delivery Engineer at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/senior-ai-delivery-engineer-qube-research-technologies-new-york-wx46b8eect8n'
type: 'job'
last_seen: '2026-09-12'
---

# Senior AI Delivery Engineer at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** New York, NY
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8625902002

## Job description

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.

You'll work closely with QRT's engineers, quantitative researchers and data scientists to accelerate software delivery using modern AI coding tools and agents. This is a hands-on engineering role focused on solving real problems, building practical solutions and helping teams deliver high-quality software to production faster. You'll have significant autonomy and will be measured by the impact you deliver.

Your Future Role within QRT:

Delivery -

- Partner with engineering and research teams to identify high-value opportunities and deliver practical solutions.
- Use AI coding agents to take ideas from specification through to production.
- Build targeted tooling, integrations and automation to improve engineering workflows.
- Work across teams, codebases and technical domains as priorities evolve.

AI-Assisted Engineering -

- Apply AI-assisted development to accelerate software delivery while maintaining engineering quality.
- Integrate AI agents into existing development workflows, including CI/CD and code review.
- Establish pragmatic guardrails and human oversight for AI-assisted development.
- Share reusable approaches and best practices across engineering teams.

Ownership & Impact -

- Own delivery from problem definition through production deployment.
- Balance speed, quality and reliability in a fast-paced trading environment.
- Communicate effectively with technical and non-technical stakeholders.
- Drive outcomes with autonomy, sound judgement and a bias for execution.

Your Present Skillset:

We value strong engineering judgement, hands-on AI-assisted delivery and a bias for impact. We do not expect candidates to meet every requirement below.

- Significant software engineering experience within a quantitative hedge fund, systematic trading firm or similarly demanding engineering environment.
- Strong programming skills in one or more modern languages, with the ability to learn new technologies quickly.
- Hands-on experience using AI coding agents or LLMs to deliver production software.
- Proven ability to solve ambiguous problems and deliver practical solutions independently.
- Comfortable working across unfamiliar codebases, teams and technical domains.
- Experience with CI/CD, code review workflows and human-in-the-loop development practices.
- Strong engineering judgement, including balancing rapid delivery with long-term maintainability.
- Excellent communication and collaboration skills.
- Demonstrated ownership, pace and delivery of measurable business impact.

Nice to Have:

- Experience with market data, real-time systems or trading infrastructure.
- Experience building deployment pipelines or AI-assisted execution workflows.
- Experience building or self-hosting LLM infrastructure.
- Familiarity with Kafka or similar streaming technologies.
- Familiarity with authentication, permissions and access control systems (e.g. OIDC).
- Contributions to open-source projects.

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

- [Cloud Engineer](https://feeny.ai/job/cloud-engineer-qube-research-technologies-hong-kong-q5t12qpw6thz) — Hong Kong
- [Security Engineer - Platform Security](https://feeny.ai/job/security-engineer-platform-security-qube-research-technologies-london-n6bavb850gk4) — London, United Kingdom
- [Reference Data Business Analyst](https://feeny.ai/job/reference-data-business-analyst-qube-research-technologies-london-8bab8hmxcsfg) — London, United Kingdom
- [2027 - Internship, Data Engineering](https://feeny.ai/job/2027-internship-data-engineering-qube-research-technologies-paris-jmf18h1cmxd8) — Paris, France
- [Quantitative Researcher - Metals](https://feeny.ai/job/quantitative-researcher-metals-qube-research-technologies-geneva-4j00mm8qww7r) — Geneva, Switzerland
- [2027 - Internship, Quantitative Research and Trading](https://feeny.ai/job/2027-internship-quantitative-research-and-trading-qube-research-technologies-4x4xxgfzwyem) — Aarhus, Denmark / Budapest, Hungary / Dubai, United Arab Emirates / Geneva, Switzerland / London, United Kingdom / Paris, France / Zurich, Switzerland
- [2027 – Internship or Graduate, FPGA Engineering](https://feeny.ai/job/2027-internship-or-graduate-fpga-engineering-qube-research-technologies-london-jratb70twqae) — London, United Kingdom
- [2027 – Graduate or Internship, Infrastructure Engineer](https://feeny.ai/job/2027-graduate-or-internship-infrastructure-engineer-qube-research-technologies-gf250vtnty05) — London, United Kingdom
- [2027 Internship – Security Engineer](https://feeny.ai/job/2027-internship-security-engineer-qube-research-technologies-london-na60yqf3naf3) — London, United Kingdom
- [2027 - Internship, Software Engineering and Quantitative Development](https://feeny.ai/job/2027-internship-software-engineering-and-quantitative-development-qube-research-r0wkag136hxf) — London, United Kingdom / Paris, France / Wrocław, Poland / Zurich, Switzerland / Dubai, United Arab Emirates