---
title: 'Data Support Engineer at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/data-support-engineer-qube-research-technologies-sydney-dwj6czq8z70e'
type: 'job'
last_seen: '2026-09-26'
---

# Data Support Engineer at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Sydney, Australia
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-09-26
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8819502002

## Job description

Data Support Engineer – 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 a technically capable Data Support Engineer to join our global Data Science and Analytics function in Sydney.

The team is responsible for ensuring that the extensive datasets and production data processes relied upon by QRT’s quantitative researchers, traders and other business users remain accurate, reliable and available when needed.

As part of the global support team, you will monitor data processes, investigate production issues and coordinate an effective response when data is missing, delayed or does not meet the expected quality standards. You will work closely with data engineers, researchers, traders and other stakeholders to understand the impact of an issue, identify the appropriate technical owners and keep affected users informed through to resolution.

The Sydney position will play an important role in strengthening DSA’s support coverage across the APAC region and bridging the global handover between EMEA and Hong Kong.

Your responsibilities will include:

- Providing first-line technical and data support to quantitative researchers, traders and other data users.
- Monitoring production data processes and responding to automated alerts relating to failures, delays and data-quality issues.
- Investigating incidents across data pipelines, including input, transformation and output failures.
- Validating data for completeness, accuracy, timeliness and expected characteristics.
- Assessing the potential business impact of data issues and prioritising incidents appropriately.
- Collaborating with data engineers and other technical teams to diagnose problems and coordinate their resolution.
- Communicating clearly with affected users and providing timely updates throughout an investigation.
- Building an understanding of data flows, dependencies, ownership and downstream consumers.
- Managing support requests and workflows through JIRA, ensuring issues are tracked through to resolution.
- Contributing to monitoring, alerting, documentation and continuous process improvement.
- Supporting the onboarding of new team members and helping users understand QRT’s data tools and processes.
- Contributing to the extension of data coverage, including live data collection and historical backfills.

You will gain exposure to a broad range of financial and alternative datasets, including market and reference data, company information, economic data, text-based datasets and other data used to support QRT’s systematic investment activities.

## Your present skill set

- A Bachelor’s degree in Computer Science, Data Science, Engineering, Finance or another relevant discipline.
- Experience in data support, production support, application support or another technically focused support environment.
- Strong Python skills, including experience using Python to manipulate, investigate and validate data.
- Experience working with data systems, automated pipelines and APIs.
- Exposure to large datasets or high-volume production environments.
- Strong analytical and problem-solving skills, with the ability to investigate issues methodically.
- Excellent attention to detail and a strong appreciation for data quality and accuracy.
- Clear communication skills and the ability to work effectively with both technical and business stakeholders.
- Sound judgement when prioritising incidents, escalating issues and communicating potential impact.
- Curiosity and a genuine interest in understanding how data processes and systems work.
- The ability to remain effective in a fast-moving environment where processes, priorities and ownership may evolve.
- Experience in financial services, quantitative trading or market data would be beneficial but is not essential.
- Experience using JIRA or a similar workflow-management tool would be advantageous.

QRT is an equal opportunity employer. We value diversity as an essential part of our success and empower our employees to work openly and respectfully towards collective goals. Alongside professional development and achievement, we offer initiatives and programmes that support employees in maintaining 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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