Quantitative Risk Analyst Salary in Washington
$64K - $82.7K
5% of jobs
$82.7K - $101.4K
10% of jobs
$101.4K - $120.1K
9% of jobs
$122.2K is the 25th percentile. Wages below this are outliers.
$120.1K - $138.7K
11% of jobs
The median wage is $145.6K / yr.
$138.7K - $157.4K
40% of jobs
$157.4K - $176.1K
9% of jobs
$176.1K - $194.8K
10% of jobs
$194.8K - $213.5K
1% of jobs
$213.5K - $232.2K
2% of jobs
$232.2K - $250.9K
3% of jobs
$250.9K - $269.6K
1% of jobs
$64K
$142.7K
$271.3K
$151,629
/year
$72.90
/hour
Quantitative Risk Analyst Salary Comparison by Location
Nationwide
United States
$133,877
Washington
Washington
$151,629
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How much does a Quantitative Risk Analyst make in Washington?
As of Aug 20, 2026, the average annual pay for a Quantitative Risk Analyst in Washington is $151,629 a year.
Just in case you need a simple salary calculator, that works out to be approximately $72.90 an hour. This is the equivalent of $2,915/week or $12,635/month.
While ZipRecruiter is seeing salaries as high as $271,257 and as low as $63,992, the majority of Quantitative Risk Analyst salaries currently range between $126,300 (25th percentile) to $164,800 (75th percentile) with top earners (90th percentile) making $208,397 annually in Washington. The average pay range for a Quantitative Risk Analyst varies greatly (by as much as 38500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
Washington ranks number 50 out of 50 states nationwide for Quantitative Risk Analyst salaries.
To estimate the most accurate annual salary range for Quantitative Risk Analyst jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Quantitative Risk Analyst on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Quantitative Risk Analyst Jobs in Washington
We've identified 3 cities where the typical salary for a Quantitative Risk Analyst job is above the average in Washington in Washington. Topping the list is Spokane County, , with Kent, and Seattle, close behind in the second and third positions. Seattle, beats the average in Washington by $1,324 (0.9%), and Spokane County, furthers that trend with another $7,599 (5.0%) above the $151,629 average.
With these 3 cities paying on average above the average for Washington, the opportunities for economic advancement by changing locations as a Quantitative Risk Analyst appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 7% between Spokane County, and Everett, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Quantitative Risk Analyst role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Spokane County | $159,228 | $76.55 |
Kent | $153,215 | $73.66 |
Seattle | $152,953 | $73.54 |
Renton | $151,203 | $72.69 |
Bellevue | $151,099 | $72.64 |
Tukwila | $151,040 | $72.62 |
Clyde Hill | $150,276 | $72.25 |
Redmond | $149,936 | $72.08 |
Federal Way | $149,430 | $71.84 |
Everett | $147,891 | $71.10 |
What are Top 5 Best Paying Related Quantitative Risk Analyst Jobs in Washington
Analyzing similar jobs related to the Quantitative Risk Analyst job category in Washington, we found 5 that were relevant. However, none pay more than the $151629 state average for Quantitative Risk Analyst jobs.
Nevertheless Market Risk Analyst, Corporate Risk Analyst, or Financial Quantitative Analyst may still be interesting positions to explore.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Market Risk Analyst | $122,697 | $58.99 |
Corporate Risk Analyst | $111,927 | $53.81 |
Financial Quantitative Analyst | $99,794 | $47.98 |
Catastrophe Risk Analyst | $95,375 | $45.85 |
Front Office Quant | $55,924 | $26.89 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
