Quantitative Researcher, PhD

Teza Technologies
Austin
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantEducation: phdSkills: ["Curiosity","Creativity"]

Develop systematic trading strategies using market microstructure signals and high-frequency data. Explore large datasets to design and evaluate new predictive features, then build statistical and machine learning models for robust trading. Partner with researchers and engineers to validate hypotheses and deploy ideas into production, while strengthening your research infrastructure and analytics tooling. Work closely with experienced Quantitative Researchers and Portfolio Managers in an Austin, TX on-site environment (5 days in-office).

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Teza Technologies
Teza Technologies
2 months ago

Quantitative Researcher, PhD

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Last checked: 2 hours agoStatus: Live

Job Summary

Develop systematic trading strategies using market microstructure signals and high-frequency data. Explore large datasets to design and evaluate new predictive features, then build statistical and machine learning models for robust trading. Partner with researchers and engineers to validate hypotheses and deploy ideas into production, while strengthening your research infrastructure and analytics tooling. Work closely with experienced Quantitative Researchers and Portfolio Managers in an Austin, TX on-site environment (5 days in-office).
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant

Key Responsibilities

  • •Research predictive signals from market microstructure data.
  • •Design and evaluate new features using granular market data.
  • •Develop statistical and machine learning models for systematic trading.
  • •Build robust research infrastructure and analytical tools.
  • •Collaborate with researchers and Portfolio Managers to take ideas from hypothesis to live trading.

Pay and Benefits

Perks:Health InsurancePaid LeaveMeal Allowance

Key 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.
Education:PhD / Doctorate
Skills:CuriosityCreativity
Tech Stack:PythonC++JavaMachine learning

Company Brief

Teza Technologies
Teza Technologies is a quantitative trading firm that develops algorithmic trading strategies, proprietary research, and technology infrastructure for global markets, focusing on systematic execution, data science, and high-performance computing.
Industry: Hedge Funds
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Chicago, United States
WebsiteLinkedIn