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Salary
$175k – $300k per year
Location
In office (New York, Chicago)

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 22, 2026. Qube Research & Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Qube Research & Technologies is a quantitative hedge fund and investment manager that runs systematic trading strategies across global markets. It applies statistical research, machine learning and high-performance technology to trade equities, futures, options, credit and other liquid asset classes. The firm was founded in 2018 by a team from Credit Suisse's quantitative trading business led by Pierre-Emmanuel Juillard and is headquartered in London.

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.  

QRT is seeking a Software Engineer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on.

Your future role within QRT

  • Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems
  • Build automation for operations, deployment, monitoring, and incident response
  • Evaluate and implement tools that balance performance, complexity, and maintainability
  • Own and evolve our observability stack: metrics, logs, tracing, and alerts
  • Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis

Your Present Skill Set

  • Bachelor's degree in Computer Science or a strongly related field
  • Strong Python programming skills
  • Strong problem-solving skills and deep understanding of computer science fundamentals
  • Commitment to code clarity, documentation, and reducing technical debt
  • Hands-on experience with Linux/Unix systems in production environments
  • Proven track record designing and delivering scalable systems in production environments

Preferred Qualifications

  • Experience with infrastructure-as-code tools (Terraform, Ansible)
  • Experience with monitoring and observability tools (Prometheus, Grafana or similar)
  • Experience with container orchestration (Kubernetes, Docker, ECS)
  • Knowledge of low-latency systems, trading environments, market data, or exchange protocols

Base salary range for this position is $175,000 to $300,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

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