Quantitative analyst with 6 years of experience in derivatives pricing and risk at an asset manager and an investment bank. Built a volatility surface model that reduced hedging P&L leakage $4M a year. Strong in stochastic calculus, Python and C++, and in explaining model limits to traders and risk managers.
Experience
Quantitative Analyst, Hollis Ridge Capital (New York, NY)
Jun 2022 – Present
Built an SVI-based equity volatility surface calibrated intraday, reducing hedging P&L leakage about $4M a year
Developed Monte Carlo pricing for exotic options with variance reduction, cutting runtime 85%
Implemented historical and stressed VaR for a $6B multi-asset portfolio
Documented models for SR 11-7 validation, passing review with only minor findings
Quantitative Analyst, Rates, Battery Wharf Securities (Jersey City, NJ)
Jul 2020 – May 2022
Built multi-curve SOFR bootstrapping in C++ for the swaps desk during LIBOR transition
Automated daily risk reports for 12 traders, saving 2 hours each morning
A strong Quantitative Analyst 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 Analyst resume FAQ
What should a Quantitative Analyst resume include?
A Quantitative Analyst 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 Analyst?
Classic, Modern and Compact work well for Quantitative Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Quantitative Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Quantitative Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Quantitative Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Quantitative Analyst 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."