Job description

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

Requirements

Must-haves

We are looking for exceptional quantitative researchers to develop systematic trading strategies based on market microstructure.
Austin, TX (5 days in-office requirement)
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.
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonjava

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance