Teza Technologies is a Chicago-based systematic quant manager whose stack pairs C++ and Python research tooling (NumPy, Pandas) with HPC-style scheduling via Slurm and Hadoop across AWS, GCP and Azure. Adoption of Apache Airflow alongside pain points around compute orchestration and observability suggests a push to industrialize the research-to-production pipeline. Hiring skews senior and engineering-heavy, spanning the US, UK and Armenia.
Teza Technologies is a privately held systematic quantitative investment manager founded in 2009 and headquartered in Chicago, IL. The firm turns mathematical research into trading strategies deployed on major global markets, operating around the clock with holding periods ranging from milliseconds to months. It employs 51–200 people across offices spanning multiple time zones. Its technology footprint covers low-latency trading systems, research data infrastructure and multi-cloud compute.
Teza uses C++, Python, NumPy and Pandas for trading and research, Slurm, Hadoop and Kubernetes for compute, PostgreSQL, MongoDB and Redis for data, and AWS, GCP and Azure, with Grafana and Zabbix for monitoring.
Teza Technologies is headquartered in Chicago, Illinois, and hires in the United States, the United Kingdom and Armenia.
Teza is building real-time trading platform components, predictive models using alternative data, full-stack observability, self-service compute orchestration and unified release pipelines.
Other companies in the same industry, closest in size
Teza 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.
