Jobs at Teza Technologies

Research and identify technical and quantitative finance candidates through professional networks and niche platforms. Build talent-market maps, maintain candidate relationships, conduct Boolean searches, create personalized outreach, track sourcing outcomes, and keep ATS records accurate. The role requires strong communication, analytical thinking, attention to detail, curiosity, and comfort in a fast-moving office environment.

Manage and scale systematic trading strategies for global agricultural commodities by combining fundamental research with quantitative modeling, alternative datasets (weather, satellite, logistics), rigorous backtesting, portfolio construction, risk management, and productionalizing research into live trading systems.

The DevOps Engineer will enhance internal infrastructure, focusing on observability, compute orchestration, secrets management, and security, while supporting development teams with efficient CI/CD systems.

As a Quantitative Researcher, you'll build and analyze statistical models, manage research processes, and optimize quantitative code while solving complex problems in financial markets.

This role is for joining a talent network to be matched with future job opportunities and receive updates on projects and openings.

The Systems Engineer manages Teza's systems infrastructure, ensures system performance, collaborates with teams, troubleshoots issues, implements security measures, and provides technical support, with on-call responsibilities.

The Trading Platform Developer will design and implement functionality for a real-time trading platform, optimize systems, and troubleshoot production issues. A focus is on low-latency systems development.

Build and maintain data platform and production data warehouse; translate PM and quant requirements into technical solutions; design ETL, data modeling, cleansing, monitoring, and alerting systems; evaluate new tooling; optimize performance and manage vendor relationships.

Conduct research to extract predictive signals from high-frequency market microstructure data, design features, develop statistical and machine-learning trading models, build research infrastructure, and collaborate with researchers and Portfolio Managers to deploy strategies to production.