Teza runs a systematic trading operation across equities and options with a Python + C++ + Java stack deployed on Kubernetes and AWS, supported by PostgreSQL and MongoDB. The hiring mix is research-heavy (10 open roles in research and data combined) with active projects spanning data warehouse expansion, statistical modeling, and trading infrastructure scaling—indicating investment in both analytical depth and operational throughput. Legacy Java platform maintenance appears ongoing alongside modernization efforts.
Teza is a quantitative investment manager based in Chicago that trades systematically on global equity and options markets with holding periods ranging from milliseconds to months. The firm operates across six time zones with a 51–200 person team focused on collaborative research. Core operations span signal design, strategy development, and execution infrastructure; active projects include expanding data warehouse capacity, building predictive models, and optimizing trading platform performance on both equities and options. The firm hires across the United States, Armenia, United Kingdom, and Germany.
Teza uses Python, NumPy, Pandas, C++, and Java for core logic, with Kubernetes and Docker for orchestration on AWS and GCP, PostgreSQL and MongoDB for data, and standard Linux infrastructure tooling (Ansible, Kerberos, Nagios).
Teza recruits in the United States, Armenia, United Kingdom, and Germany, reflecting distributed teams across multiple time zones.
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