Financial Quantitative Analysts
Financial Quantitative Analysts use advanced math, statistics, and coding to help banks, investment firms, and companies make smarter money decisions. They build computer models in tools like Python, R, or MATLAB to predict risk, set prices for complex financial products, and test trading strategies, including those involving climate and environmental risks. They also work with traders, software developers, and product teams to design and improve analytical tools for things like portfolio optimization, carbon trading, and environmentally responsible investing.
Did you know?
Most positions require a master's or PhD in mathematics, statistics, physics, or finance, along with strong programming skills in Python, R, or C++.
At a glance
Typical average pay
$78,400 Avg/yr
Growth
Stable
Top skill
Mathematics
Things to consider
High-Stress Environment with Long Hours
The role typically involves working under tight deadlines in fast-paced financial markets, often requiring 60+ hour work weeks during critical periods.
Continuous Learning and Adaptation
The field rapidly evolves with new financial instruments, regulations, and technologies, requiring ongoing professional development to remain competitive.
Key responsibilities
Provide application or analytical support to researchers or traders on issues such as valuations or data.
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
Interpret results of financial analysis procedures.
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.