---
title: 'Software Engineer – Risk at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/software-engineer-risk-qube-research-technologies-london-fh20d7mvkk96'
type: 'job'
last_seen: '2026-09-12'
---

# Software Engineer – Risk at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** London, United Kingdom
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8623968002

## 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 Risk Team develop scalable software used by Risk Managers, Portfolio Managers and Quantitative Researchers across the business. This team is critical in building high-performance production systems, cloud-native services and engineering tooling that support our risk management capabilities.

## Your future role within QRT

We are seeking an experienced Software Engineer to work within our Risk Team to help design and build the next generation of our risk platform. The role is expected to involve the following activities:

- Design, develop and maintain production-grade Python applications and services.
- Build scalable APIs, distributed systems and data pipelines supporting risk analytics and business workflows.
- Design and develop cloud-native applications using modern software engineering practices.
- Collaborate closely with Risk Managers and Quantitative Researchers to productionise analytical models and enhance existing platforms.
- Design reliable, observable and maintainable software with a strong focus on performance, scalability and operational excellence.
- Contribute to architecture discussions and continuously improve engineering standards, tooling and development practices across the team.
- Leverage modern AI-assisted development tools to improve software quality, developer productivity and delivery.

## Your present skillset

- Excellent Python development skills
- Strong understanding of object-oriented design and software engineering principles
- Demonstrable experience designing, building and supporting high-quality production systems
- Good knowledge and experience of developing REST APIs and backend services
- Strong SQL knowledge
- Experience with distributed systems, asynchronous processing and data pipelines
- Ability to test, debug and optimise software with a strong focus on reliability and performance
- Experience with containerisation and CI/CD practices
- Demonstrable ability to communicate and collaborate effectively with technical and business stakeholders
- A passion for building robust, maintainable software and continuously improving engineering practices

Desirable to have experience or a willingness to learn in the following areas:

- Cloud-native technologies, including AWS, Docker, Kubernetes and infrastructure automation
- Monitoring and observability tooling such as Prometheus, Grafana, OpenTelemetry or similar technologies
- Modern backend and data technologies such as FastAPI, Kafka, Airflow, Terraform or gRPC
- Financial markets or another data-intensive, low-latency environment
- Quantitative analytics, trading or risk platforms
- AI-enabled engineering solutions, retrieval-augmented applications or agentic workflows
- Modern AI-assisted development tools as part of the software engineering lifecycle

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)

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