Resume gap analysis for Quantitative Analyst
Statistical modelling depth is stated, never evidenced
Most Quantitative Analyst resumes list Statistical modelling as a bullet in a skills bar. Job descriptions ask what you built with it. Attach Statistical modelling to one project, its scope, and the result.
No numbers against strategy Sharpe ratio
Hiring managers for this role scan for strategy Sharpe ratio and model backtest accuracy. A resume without those figures reads as a quantitative analyst who was present, not one who moved anything.
Python listed, NumPy missing
JDs for this role usually pair Python with NumPy. Naming only one signals partial coverage of the workflow and drops your keyword match.
Time series analysis and Python buried under duties
Time series analysis and Python are core screening keywords for Quantitative Analyst openings, but they often sit at the bottom of a paragraph. An ATS weights the first lines of each role far more heavily.
Scope of ownership is unclear
"research and build quantitative models for pricing or trading" means something different at a 5-person team and a 500-person org. State team size, budget, volume, or user count so the reviewer can place your Derivatives pricing experience.
Certifications and qualifications not surfaced
CFA, FRM appear in the preferred section of most Quantitative Analyst JDs. If you hold one, it belongs near the top, not in a trailing "Others" line.
Responsibilities
- research and build quantitative models for pricing or trading
- backtest strategies against historical data
- monitor live model performance and risk