---
title: 'Senior Quantitative Developer – Commodities at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/senior-quantitative-developer-commodities-qube-research-technologies-geneva-5a7wce8awmwg'
type: 'job'
last_seen: '2026-10-24'
---

# Senior Quantitative Developer – Commodities at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Geneva, Switzerland
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-10-24
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8750542002

## 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.

The team:

The Commodities Front Office Quantitative Development team works closely with researchers and traders across QRT’s global Commodities business. We are looking to strengthen our technology capabilities supporting the Agriculture business. The team builds research and trading platforms covering market, alternative, weather and remote-sensing data, as well as quantitative modelling, risk management, trade flows and performance analysis. Our stack combines Python for quantitative computing, data engineering and backend services; React and TypeScript for analytical applications; SQL and cloud-native storage; and AWS infrastructure managed through Infrastructure-as-Code.

Your future role within QRT:

- Design, develop, deploy and support cloud-native applications for commodities research and trading.
- Build full-stack analytical tools using Python backend services and React/TypeScript front ends.
- Develop research infrastructure, including data pipelines, backtesting frameworks, optimisers, APIs and scalable modelling workflows.
- Integrate and process market, fundamental, weather, geospatial, remote-sensing and alternative datasets.
- Help researchers transition exploratory workflows into reliable production systems.
- Maintain high standards for data quality, reproducibility, monitoring and point-in-time correctness.
- Collaborate with researchers, traders, data engineers and infrastructure teams across multiple locations.
- Evaluate modern technologies and AI-assisted development tools where they can improve research and engineering productivity.

Your present skill set:

- At least 5 years of professional software development experience, with advanced Python expertise and strong software engineering and system design fundamentals.
- Strong knowledge of numerical and analytical Python libraries such as NumPy, pandas, Polars and xarray.
- Experience building production-grade Python services, APIs and data pipelines.
- Strong experience with React, TypeScript, SQL and relational databases.
- Experience working with weather, geospatial, remote-sensing or other large scientific datasets.
- Familiarity with relevant data technologies and formats, such as GeoPandas, rasterio, STAC, Zarr, NetCDF, GRIB, Parquet and Arrow.
- Experience scaling data-intensive or computational workloads using frameworks such as Dask, Ray or Spark.
- Hands-on cloud experience, ideally with AWS, including Infrastructure-as-Code, containers and CI/CD.
- Strong quantitative mindset and the ability to work directly with researchers and traders, taking projects from requirements through to production.
- A rigorous approach to engineering, testing and code review, including when using AI-assisted development tools.

Nice to have:

- Front-office trading or quantitative-finance experience.
- Commodities experience, particularly within Agriculture.
- Experience with Airflow or a similar orchestration platform.
- Strong AWS architecture experience.
- Familiarity with machine-learning infrastructure and model-training pipelines.

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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