Similar careers
Similarity is based on what people in the careers do, what they know, and what they are called. The process of establishing similarity lists is described in this white paper.
A Financial Quantitative Analyst, often known as a "quant," specializes in applying mathematical and statistical methods to financial and risk management problems. They develop models to analyze financial data and make predictions to guide investment decisions.
Education: Bachelor's degree
Years in related career: None
On-the-job training: None
Projected Growth: 6.1% (above average)
Annual job openings: 10,300
Direct AI exposure: 32% of tasks
Potential AI exposure: 100% of tasks
| According to the U.S. Bureau of Labor Statistics, average income (in USD) in 2025 was $81K per year. | ||||
|---|---|---|---|---|
| Bottom 10% | Bottom 25% | Median (average) | Top 25% | Top 10% |
| $48K per year | $61K per year | $81K per year | $110K per year | $151K per year |
| Compared to other careers: Median is $30K above the national average. | ||||
Financial Quantitative Analysts typically work in office settings at investment banks, hedge funds, or financial consulting firms. Their work involves extensive use of computers and advanced software for statistical analysis and modeling. The environment is fast-paced, with a strong focus on data analysis and problem-solving.
Financial Quantitative Analysts operate at the intersection of finance and advanced mathematics, employing their skills to solve complex financial problems and inform strategic investment decisions. They must be proficient in statistical analysis, programming, and financial theory. Quantitative Analysts are critical in today's financial landscape, helping organizations understand and mitigate risk, optimize investment strategies, and explore new financial products.
The role requires a blend of technical expertise and financial acumen. Analysts need to be proficient in programming languages like Python, R, or C++, and be familiar with database management and data analysis tools. They must be able to think critically and analytically, often working under pressure to meet tight deadlines.
This career path is continuously evolving, with quants needing to stay abreast of new analytical techniques, programming tools, and financial products. They must be lifelong learners, constantly updating their skills and knowledge to remain effective in their roles.
A master's degree or Ph.D. in quantitative fields like finance, mathematics, economics, or statistics is often required, which can total 6-10 years of post-secondary education. Advanced knowledge in programming and quantitative methods is essential.
Similarity is based on what people in the careers do, what they know, and what they are called. The process of establishing similarity lists is described in this white paper.
