---
title: 'Software Engineer - Electronic Trading Systems at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/software-engineer-electronic-trading-systems-qube-research-technologies-hong-fsg803xb5ree'
type: 'job'
last_seen: '2026-09-05'
---

# Software Engineer - Electronic Trading Systems at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Hong Kong, China / Sydney, Australia
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8783538002

## Job description

Location: Hong Kong and Sydney

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative environment that enables us to solve complex challenges. Our culture of innovation drives our ambition to deliver high-quality returns for our investors.

## Your future role at QRT

We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment.

This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm.

The focus extends beyond delivering individual features. You will identify opportunities to create scalable, reusable capabilities that improve how trading systems are developed, deployed, monitored and operated across multiple teams and trading desks.

Working closely with both technical and business stakeholders, you will gain a detailed understanding of trading workflows and translate complex requirements into reliable, maintainable and well-designed software.

## What you’ll do

- Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform.
- Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams.
- Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows.
- Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure.
- Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate.
- Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow.
- Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems.
- Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity.
- Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities.
- Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments.
- Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value.
- Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement.

## Your present skillset

You will likely have:

- At least five years of experience developing and supporting production-grade software.
- Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++.
- Experience designing maintainable, testable and scalable applications and services.
- A strong understanding of software design principles, data structures, algorithms and engineering fundamentals.
- Experience building RESTful APIs, distributed systems or event-driven architectures.
- A good working knowledge of Linux environments.
- Experience working with relational databases such as PostgreSQL or MySQL.
- Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines.
- Experience with public cloud technologies, preferably AWS.
- An understanding of messaging technologies such as Kafka or RabbitMQ.
- Experience considering reliability, observability, performance and failure recovery when designing production systems.
- Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs.
- The ability to work effectively with both technical and non-technical stakeholders.

Experience in one or more of the following areas would be advantageous:

- Apache Airflow or a comparable workflow-orchestration platform.
- React, Vue, Angular or another modern front-end framework.
- Deployment automation, developer platforms or operational tooling.
- Market data, order management systems, execution management systems or electronic trading platforms.
- Financial markets or another complex, time-sensitive production environment.

You do not need to have worked in financial services. We are interested in engineers who are curious, technically strong and motivated to understand how technology supports a global trading business.

## Your way of working

You will thrive in this role if you:

- Enjoy designing systems as well as implementing them.
- Think about scalability, reliability and maintainability from the outset.
- Look for opportunities to automate repetitive work and improve engineering processes.
- Take ownership and remain accountable for the quality of your software in production.
- Work collaboratively and seek to understand the needs of the people using the systems you build.
- Approach technical decisions pragmatically and can balance competing business and engineering priorities.
- Are intellectually curious and enjoy learning about unfamiliar technologies and business domains.
- Maintain high standards while remaining open to feedback and different perspectives.

Why join QRT?

Technology sits at the heart of QRT. You will work alongside talented traders, quantitative researchers and engineers, building software that directly supports our global trading activities.

The role offers exposure to a broad range of engineering challenges, from cloud-native services and distributed systems to trading applications, deployment platforms and operational tooling. You will have the autonomy to shape solutions, contribute to architectural direction and see your work used every day by teams across the firm.

If you enjoy building scalable systems and creating software that makes engineers, traders and operational teams more effective, you will have the opportunity to make a meaningful impact at QRT.

## 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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