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Teza Technologies

Quantitative Researcher, PhD

Austin, TX · On-site

$200 - $250/hr

We are looking for exceptional quantitative researchers to develop systematic trading strategies ... PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related ...

Jump Trading

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... About the Role The PhD quant research internship is an intensive 10-week program designed to show ...

Jump Trading

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... About the Role The PhD quant research internship is an intensive 10-week program designed to show ...

IMC

Graduate Quantitative Researcher (PhD)

Chicago, IL · On-site

$250K/yr

Current university student graduating between September 2026 - July 2027 that is pursuing a PhD ... Computer Science, or another highly quantitative field * Has a passion for research and problem ...

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As of Sep 9, 2026, the average yearly pay for researcher phd computer in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Researcher Phd Computer job openings in the United States as of June 2026, with employment types broken down into 5% Full Time, and 95% Part Time. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Quantitative Researcher, PhD

Austin, TX • On-site

Teza Technologies
Securities, Commodity Contracts, and Financial Investments • 11 - 50 employees
Learn more about Teza Technologiesexternal

$200 - $250/hr

Other

Medical

Re-posted 3 days ago

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
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