Login

Quantitative Researcher Salary in New York, NY

Government-verified H-1B salary data from 28 certified filings

Government-Verified
$189,516
Average Salary
$189,515
Median Salary
28
Filings
9
Companies

How much do Quantitative Researchers make in New York?

Based on 28 certified H-1B visa filings, Quantitative Researchers in New York, NY earn an average salary of $189,516 per year. Salaries range from $113,709 to $341,128 depending on experience and employer.

Source: US Department of Labor LCA Disclosure Data, Q1 FY2025

Top Companies Hiring Quantitative Researchers in New York

Company Avg. Salary Filings
SQUAREPOINT SERVICES US LLC $171,667 6
TWO SIGMA INVESTMENTS, LP $236,000 5
Balyasny Asset Management, L.P. $186,667 3
Alphaton Technologies LLC $132,371 2
JUMP OPERATIONS, LLC $212,500 2

Unlock Full Salary Data

See all Quantitative Researcher salaries in New York.

$49/mo – Full Access

Quantitative Researcher Salaries in Other Cities

Chicago, IL
7 filings
$182,046

View all Quantitative Researcher salaries →

Other Popular Roles in New York

Software Engineer $187K Associate $202K Vice President $198K Software Development Engineer Ii $160K Senior Software Engineer $171K Software Developer $128K Data Scientist $163K Director $204K

View all roles in New York →

Frequently Asked Questions

What is the average Quantitative Researcher salary in New York?

The average Quantitative Researcher salary in New York, NY is $189,516 based on 28 certified H-1B filings. The median salary is $189,515.

Which companies hire Quantitative Researchers in New York?

Top employers hiring Quantitative Researchers in New York include SQUAREPOINT SERVICES US LLC, TWO SIGMA INVESTMENTS, LP, Balyasny Asset Management, L.P., Alphaton Technologies LLC, JUMP OPERATIONS, LLC. These companies have filed H-1B visa applications for this role in this location.

How accurate is this salary data?

This data comes from official US Department of Labor Labor Condition Application (LCA) filings. Companies are legally required to report accurate salary information—providing false information constitutes federal fraud. This makes our data more reliable than self-reported salary surveys.