Quantitative researcher with 5 years developing systematic equity and futures signals at a mid-size hedge fund. Built a short-horizon order-flow signal that added 1.4 points of annual return at a 1.1 Sharpe after costs. Combines a statistics PhD with production-grade Python research code and careful backtest hygiene.
Experience
Quantitative Researcher, Halyard Point Capital (New York, NY)
Jul 2022 – Present
Researched a short-horizon order-flow signal for U.S. equities that added 1.4 points of annual return at a 1.1 Sharpe net of costs
Built a walk-forward backtest framework in Python with purged cross-validation, cutting look-ahead and overfitting issues found in review
Modeled transaction costs from 3 years of fill data, lowering estimated slippage error by 30%
Present signal research to the investment committee and hand off production code to the trading engineering team
Quantitative Research Intern, Halyard Point Capital (New York, NY)
Jun 2021 – Aug 2021
Tested 40 carry and momentum variants on commodity futures and documented results for the portfolio managers
Education
Ph.D. Statistics, University of Chicago (Sep 2017 – Jun 2022)
B.A. Mathematics, Rice University (Aug 2013 – May 2017)
Skills
Methods: time series analysis, regularized regression, Bayesian inference, portfolio optimization, market microstructure
Languages: Python, SQL, C++, R
Tools: pandas, NumPy, scikit-learn, kdb+/q, Linux
How to write a Quantitative Researcher resume
A strong Quantitative Researcher resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Quantitative Researcher resume FAQ
What should a Quantitative Researcher resume include?
A Quantitative Researcher resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Quantitative Researcher?
Classic, Modern and Compact work well for Quantitative Researcher roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Quantitative Researcher resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Quantitative Researcher put on a resume?
Prioritize the skills named in the job posting. Common ones for Quantitative Researcher roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Quantitative Researcher resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."