Financial Quantitative Analysts
Business and Financial Operations
Practical finance problems such as derivative valuation, securities trading, risk management, or market regulation are handled with mathematical and statistical techniques. Analytical tools are researched and built for portfolio construction, performance measurement, profit-and-loss tracking, and pricing; results are interpreted and written up in summary reports. Model libraries are developed with statistical or econometric methods, models in use are kept current, and researchers or traders get support on valuations and data. Suits people who like quantitative model-building, complex number problems in finance, and turning results into clear written findings.
Typical education: Master’s Degree
Annual Median Wage in Field (2025)
$81'100
Median Wage Market Position
$81'100
What you might do
- Build models for pricing and risk management
- Apply statistics to derivatives and securities
- Research tools for portfolio construction and optimization
- Interpret results of financial analysis
- Write summaries of financial research findings
- Support traders with valuations and data
Skills that matter
- Math applied to derivatives and securities
- Models for risk, portfolios, and pricing
- Interpreting financial-analysis results
- Written summaries of research findings
- Updating analytic models already in use
- Helping researchers and traders with valuations
AI & the future of this role
Model building, backtesting, and valuation routines are strong fits for advanced analytics systems that may crowd out routine quant work. Oversight of model risk and market judgment still count, but a large share of the craft is highly automatable.
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Includes O*NET® 30.3 Database information by USDOL/ETA under CC BY 4.0; modified by LostInCareer. Wage/outlook from BLS. Attribution details