Teza Technologies
Quantitative Researcher, PhD
Austin
Sponsorship not specifiedDetected 15 days ago
PythonC++Machine LearningStatisticsElectrical EngineeringResearch
About the role
- This role is focused on extracting predictive signals from high-frequency market data and turning them into robust, scalable trading models.
Responsibilities
- Design and evaluate new features using the most granular market data.
- Build Strategies while becoming the best at what you do
Skills
- Research predictive signals from market microstructure data.
- Build robust research infrastructure and analytical tools.
- Work directly with experienced researchers and Portfolio Managers to take ideas from hypothesis to live trading.
- PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline.
- Outstanding mathematical and statistical skills.
- Strong programming ability in Python and C++/Java.
- Experience working with quantitative models.
- Curiosity, creativity, and proven academic track record.
- On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
- Professional guidance from experienced mentors
Benefits
- Health insurance
- Flexible sick time policy
- Develop statistical and machine learning models for systematic trading.
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