Teza Technologies
Quantitative Researcher, PhD
Austin
hirly Pro
Get in front of the people hiring at Teza Technologies
- Reach the hiring manager at Teza Technologies on LinkedIn, from your own account
- hirly applies to this job for you, with unlimited applications
- A resume and cover letter written for this job, unlimited
- The hiring manager and recruiter at Teza Technologies, with contact details
$49 a month · ₹1,999 for 30 days in India · cancel any time
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 3M live jobs from 220,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 2 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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
Listed on hirly, a job board. hirly is not the employer: Teza Technologies is hiring for this role.
Similar jobs
- Quantitative Researcher (PhD)Virtu · Austin, TX; New YorkFirst seen 58d agoremote
- Quantitative Researcher, Evidence Synthesis & Meta-AnalysisAmericaninstitutesforresearch · US-Remote | US-VA-Arlington | US-NC-Chapel Hill | US-IL-Chicago | US-CA-Sacramento | US-TX-AustinFirst seen 6d agoremote
- Quantitative ResearcherTowerresearchcapital · Chicago, ILFirst seen 10d ago
- Quantitative ResearcherImc · Chicago, United States; New York, United StatesFirst seen 10d ago
- Quantitative ResearcherInvesco · Atlanta, GeorgiaFirst seen 12d ago
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job