Proprietary trading firm with quantitative models and low-latency infrastructure
TransMarket Group operates a technology-driven proprietary trading business across global markets, with a stack heavy on Python, C++, and infrastructure tooling (Terraform, Ansible, Docker, VMware). Active projects span quantitative modeling, real-time execution systems, and automated provisioning — revealing an organization scaling trading automation and latency-sensitive deployments. The hiring mix skews finance (11) over engineering (5), typical for trading shops, but the infrastructure and deployment pipeline work suggests they're building internal platform maturity to support higher volumes.
TransMarket Group is a privately held proprietary trading firm founded in 1980, now operating across Chicago, Puerto Rico, and Switzerland. The firm trades derivatives, fixed income, energy, and rates using algorithmic and quantitative strategies. With 51–200 employees, the organization spans trading operations, research, and engineering functions. Core work includes developing quantitative models, managing real-time execution systems, and maintaining a data-center infrastructure optimized for low-latency market capture. The company operates as a self-contained trading operation rather than a service provider, retaining all P&L internally.
Primary stack: Python, C++, C#, and SQL for model and systems development. Infrastructure: Terraform, Ansible, Docker, VMware for deployment automation and provisioning. Monitoring: Grafana, Elasticsearch, Icinga2 for real-time system observability.
Headquartered in Chicago, Illinois, with additional offices in Puerto Rico and Switzerland.
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