---
title: 'Software Engineer - Data Lifecycle at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/software-engineer-data-lifecycle-qube-research-technologies-amsterdam-2s1t5hx6pwb1'
type: 'job'
last_seen: '2026-10-31'
---

# Software Engineer - Data Lifecycle at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Amsterdam, Netherlands
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-10-31
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8923176002

## 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 our 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 will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.

## Your role at QRT

This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production.

You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems.

## What you’ll work on

- Designing and building scalable, high-performance systems for trade and position lifecycle management
- Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes
- Building and maintaining high-quality reference data platforms used across trading and research
- Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders
- Ensuring data accuracy, integrity, and consistency across systems and workflows
- Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators
- Collaborating closely with stakeholders to translate business needs into reliable technical solutions
- Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines
- Supporting production systems and continuously improving reliability, monitoring, and performance

## What we’re looking for

- 5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment
- Strong programming skills in Python (experience with C# is a plus)
- Solid understanding of software design, architecture, and scalable systems
- Experience working with SQL and relational databases
- Familiarity with testing frameworks and CI/CD practices

Domain experience (one or more is valuable, not required). We’re interested in engineers with exposure to financial markets, particularly:

- Trade and position lifecycle systems
- Equities, ETFs, futures, or options
- Corporate actions and reference data
- Market structure and exchange-specific behaviour

Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important.

What will set you apart

- Experience building systems in a quantitative trading or financial environment
- Strong problem-solving skills with a focus on performance, scalability, and data quality
- Ability to operate in a high-impact, fast-paced environment with evolving requirements
- Clear communication skills and a collaborative mindset

Why join QRT?

- Work on business-critical systems with direct impact on trading outcomes
- Join a core engineering team with significant ownership and autonomy
- Collaborate with traders, researchers, and engineers in a highly technical environment
- Tackle complex data and systems challenges at scale

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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