Derivative Pricing Quant information
See salary details
$40.2K - $51.5K
0% of jobs
$51.5K - $62.7K
6% of jobs
$68.3K is the 25th percentile. Wages below this are outliers.
$62.7K - $73.9K
10% of jobs
$73.9K - $85.1K
14% of jobs
The median wage is $89.6K / yr.
$85.1K - $96.4K
16% of jobs
$96.4K - $107.6K
11% of jobs
$113.2K is the 75th percentile. Wages above this are outliers.
$107.6K - $118.8K
8% of jobs
$118.8K - $130K
6% of jobs
$130K - $141.3K
9% of jobs
$141.3K - $152.5K
5% of jobs
How much do derivative pricing quant jobs pay per year?
As of Sep 11, 2026, the average yearly pay for derivative pricing quant in the United States is $92,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $118,500.00 per year, depending on experience, location, and employer.
A Derivative Pricing Quant is a quantitative analyst who specializes in developing mathematical models and computational tools to determine the fair value of derivative financial products, such as options, futures, and swaps. This role involves using advanced mathematical techniques, programming, and financial theory to analyze market data and assess risks. Derivative Pricing Quants often collaborate with traders, risk managers, and IT professionals to ensure accurate pricing and effective risk management of complex financial instruments. Strong skills in mathematics, programming (such as Python or C++), and finance are essential for this position.
To thrive as a Derivative Pricing Quant, you need advanced quantitative skills, a solid background in mathematics or financial engineering, and often a graduate degree in a quantitative field. Proficiency in programming languages like Python, C++, and familiarity with pricing libraries and risk management systems are typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex ideas clearly are crucial soft skills. These abilities are important because they enable accurate pricing, effective risk assessment, and clear communication of technical findings to stakeholders in fast-moving financial markets.
Derivative Pricing Quants frequently encounter challenges such as managing model risk, ensuring computational efficiency, and staying current with evolving financial regulations. The role often involves working with large, complex datasets and implementing advanced mathematical models under tight deadlines. Collaboration with traders, risk managers, and software engineers is essential to deliver robust pricing solutions and to adapt models to real-time market conditions. Addressing discrepancies between theoretical models and actual market behavior is a core part of the job, requiring both analytical rigor and creative problem-solving.
What are popular job titles related to Derivative Pricing Quant jobs?
For Derivative Pricing Quant jobs, the most frequently searched job titles are:
