As of June 01, 2026, the average annual salary for Algorithmic Trader in the US is $83,685, equivalent to $40 per hour, $1,609 weekly, or $6,974 monthly. These figures, sourced from Salary.com’s real-time job posting scans, highlight competitive earning potential for Algorithmic Trader in cities like San Jose, Santa Clara, and San Francisco.
Annually Salaries for Algorithmic Trader in the US vary widely, spanning from $58,906 to $107,173. Most professionals fall between the 25th percentile ($70,715) and 75th percentile ($95,980), while top earners (90th percentile) make $107,173 per year. This $25,265 pay gap underscores opportunities for salary growth through certifications, specialized skills like or , or targeting high-paying regions like District of Columbia or California.
Location and experience significantly influence earnings. For example, District of Columbia Algorithmic Trader often earn 10.7% above national averages due to demand from Fortune 23 companies and industry startups. Professionals are advised to focus on high-growth sectors like to offset market challenges.
