Austin, Texas, United States · On-site
We are looking for exceptional quantitative researchers to develop systematic trading strategies based on market microstructure. This role is focused on extracting predictive signals from high-frequency market data and t…
Skills: Quantitative Research, Market Microstructure, Systematic Trading, Predictive Signaling, Statistical Modeling
Austin, Texas, United States · Hybrid
About the role Teza Technologies is looking for Data Engineers to join our data team. Data drives systematic trading and is critical to all aspects of the firm's business. This is a hands-on position on a small team of d…
Skills: Python, Unix/Linux, SQL, NoSQL, Postgres
London, England, United Kingdom · On-site
We're looking for an experienced Portfolio Manager to build and scale systematic trading strategies across global agricultural markets. This role is ideal for someone who combines deep knowledge of agricultural commodity…
Skills: Systematic Trading, Agricultural Commodity Markets, Quantitative Modeling, Python, Statistical Analysis
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Develop systematic trading strategies by extracting predictive signals from high-frequency market microstructure data. Design and evaluate features to build robust, scalable trading models in collaboration with researchers and Portfolio Managers.
Requires a PhD in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science. Candidates must possess strong programming skills in Python and C++/Java along with outstanding mathematical and statistical abilities.
We are looking for exceptional quantitative researchers to develop systematic trading strategies based on market microstructure.
This role is focused on extracting predictive signals from high-frequency market data and turning them into robust, scalable trading models. You will explore large datasets, develop new features, test hypotheses, and work closely with researchers and engineers to deploy ideas into production.
Location
Austin, TX (5 days in-office requirement)
Key Responsibilities
Research predictive signals from market microstructure data.
Design and evaluate new features using the most granular market data.
Develop statistical and machine learning models for systematic trading.
Build robust research infrastructure and analytical tools.
Work directly with experienced researchers and Portfolio Managers to take ideas from hypothesis to live trading.
Basic Requirements
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.
What you’ll get
On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
Build Strategies while becoming the best at what you do
Professional guidance from experienced mentors
Benefits
Health insurance
Flexible sick time policy
Office Lunches
The place where strategies are born
Teza is a systematic quantitative investment manager. Every day we translate complex mathematical concepts into financial strategies trading on the world’s largest markets with synergy between people and technology. There’s nothing more important to us than collaborative research, uniting the brightest minds on the planet. With offices in six time zones, we never skip a beat – trading 24/7, with holding periods from milliseconds to months.
Offices: 110 N. Wacker Drive, Suite 3950, Chicago, IL 60606, US · 301 Congress Ave, Austin, Texas 78701, US · 521 Fifth Avenue 22nd Floor, New York, NY 10175, US
The place where strategies are born
Teza is a systematic quantitative investment manager. Every day we translate complex mathematical concepts into financial strategies trading on the world’s largest markets with synergy between people and technology. There’s nothing more important to us than collaborative research, uniting the brightest minds on the planet. With offices in six time zones, we never skip a beat – trading 24/7, with holding periods from milliseconds to months.
Offices: 110 N. Wacker Drive, Suite 3950, Chicago, IL 60606, US · 301 Congress Ave, Austin, Texas 78701, US · 521 Fifth Avenue 22nd Floor, New York, NY 10175, US
