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Qube Research & Technologies Tech Stack

Quantitative investment manager with systematic trading across asset classes

Financial Services London, England 1,001–5,000 employees Founded 2018 Privately Held

QRT is a quantitative investment firm founded in 2018, now scaling trading infrastructure and operations across 16 global offices. The tech stack reveals a dual-track approach: systems engineering (C++, FPGA, low-latency networking via Temporal, NetBox, Nautobi) paired with modern data infrastructure (Snowflake, dbt, Apache Airflow, Datadog). Hiring acceleration is concentrated in engineering and operations, with active work on OTC automation, APAC trading expansion, and exchange connectivity — all pointing toward operational complexity at higher trading volumes.

Tech Stack 158 technologies

Core StackGreenhouse C++ Python .NET C# Go Ansible AWS CloudWatch Prometheus Datadog Elasticsearch Docker Kubernetes Snowflake Apache Airflow dbt Grafana Temporal C++23 FPGA WPF Bash PowerShell NetBox Nautobot iptables DHCP DNS pyATS+124 more

What Qube Research & Technologies Is Building

Challenges

  • Resolving reconciliation breaks
  • Automation of otc workflows
  • Compliance monitoring
  • Nav system gap analyses
  • Expanding trading capabilities across apac
  • Optimising electronic trading infrastructure
  • Process improvement automation initiatives
  • Identifying inefficiencies and manual pain points
  • Managing oms bug reports
  • Expanding campus presence

Active Projects

  • Automation of otc workflows
  • Global mobility policy design
  • Benefits data and analytics maintenance
  • Researching alpha signals
  • Implementing new trading capabilities and venues across apac
  • Low-latency and co-location projects
  • Market access and exchange connectivity initiatives
  • Process improvement automation initiatives
  • Reporting and process scalability initiatives
  • Designing operational solutions with it

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Engineering
11
Ops
6
HR
5
Data
3
Finance
2
Operations
1
Research
1
Security
1

Seniority

Mid
17
Senior
8
Intern
4
Junior
1
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About Qube Research & Technologies

QRT operates as a systematic, quantitative investment manager across all asset classes and geographies. Founded in 2018, the firm has grown to 1,001–5,000 employees across 16 offices in Australia, China, France, Hungary, Netherlands, Singapore, and the United Kingdom. The business combines quantitative research and alpha signal development with systematic trading execution and infrastructure. Current operational focus spans trading venue expansion, OTC workflow automation, low-latency infrastructure optimization, and cross-region compliance and reporting capabilities.

HeadquartersLondon, England
Company Size1,001–5,000 employees
Founded2018
Hiring MarketsAustralia, China, United Kingdom, Netherlands, France, Singapore, Hungary

Frequently Asked Questions

What tech stack does Qube Research & Technologies use?

Core stack includes C++23, Python, FPGA hardware, AWS infrastructure, Snowflake data warehouse, Apache Airflow orchestration, dbt for transformations, Temporal for workflow management, and monitoring via Prometheus, Datadog, and Grafana. Also uses Kubernetes, Docker, and networking tools (NetBox, Nautobot, iptables, DNS/DHCP).

What is Qube Research & Technologies working on?

Active projects include automating OTC workflows, expanding trading capabilities and market access across APAC, low-latency and co-location infrastructure, global mobility policy design, and process improvement automation across reporting and operational systems.

How this profile is built

Qube Research & Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.