Teza Technologies
Quantitative Researcher, PhD
Austin
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
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.
This listing is sourced directly from Teza Technologies's careers page and normalized into a canonical job model.