Introducing Qumata
Qumata is an innovative data science firm built on a foundation of applying cutting-edge machine learning and proprietary technology to complex, real-world problems.
Our core mission is to empower decision-making by transforming raw data into predictive insights.
We began our journey by successfully applying our expertise to the InsureTech space, where our solutions continue to deliver significant value and drive ongoing sales.
Building on this success and demonstrating the versatility of our data science models, we have expanded our strategic focus into the financial markets.
We have achieved significant proprietary trading success, most recently in the high-growth short-dated U.S. index option market This expansion is a major new chapter for Qumata, representing an exciting horizon for business growth and a unique opportunity to apply sophisticated machine learning and AI/ML talent to high-value trading strategies.
We are now actively scaling this new financial trading unit and are looking for passionate, problem-solving Data Scientists to join us in building the next generation of algorithmic trading models.
About the role
As a Quantitative Infrastructure Engineer, you will design, build, and maintain the production backbone that enables live trading and backtesting of 0DTE options strategies.
You will be responsible for containerized deployments, order routing integration, and data pipeline orchestration.
The role requires deep technical fluency in Python, cloud systems, and automation — with a strong sense of reliability, performance, and operational discipline.
Because the systems support live U.S. market trading, you may occasionally be on standby during U.S. trading hours to monitor execution health, debug incidents, and ensure uptime across trading environments.
Key Responsibilities include, but are not limited to:
Qualifications