Key Takeaways
- In 2023, the gender pay gap in securities industry stood at 82.4 cents on the dollar for women vs men in equivalent roles
- Black employees earned 78.6% of white counterparts' median pay in securities firms 2022
- Hispanic workers' compensation was 85.2% of non-Hispanic in 2023 data
- In 2023, women comprised 46.2% of the total workforce in U.S. securities firms, marking a slight increase from 45.1% in 2021
- Among entry-level positions in broker-dealers, female representation stood at 52.7% in 2022, compared to 48.3% five years prior
- Female employees in compliance roles within the securities industry reached 54.1% in 2023, up from 50.2% in 2019
- In 2023, women held 24.5% of senior executive positions (C-suite and above) in U.S. securities firms
- Black executives represented 4.2% of leadership roles in securities industry 2023
- Hispanic leaders comprised 5.1% of board seats in major broker-dealers in 2022
- In 2023, Black or African American employees represented 8.7% of the total U.S. securities industry workforce, up from 7.9% in 2020
- Hispanic or Latino professionals accounted for 9.2% of securities firm employees in 2023
- Asian employees made up 12.4% of the securities industry workforce in 2022
- In 2023 securities firms, employee engagement scores for diverse groups averaged 76.2% vs 82.4% for others
- Retention rate for women: 85.7% after 5 years in 2022
- Black employee turnover: 14.2% annually vs 10.8% overall in 2023
In 2023, pay and leadership gaps persisted, but DEI efforts improved representation and retention in U.S. securities.
Compensation And Equity
Compensation And Equity Interpretation
Gender Diversity
Gender Diversity Interpretation
Leadership And Senior Roles
Leadership And Senior Roles Interpretation
Racial And Ethnic Diversity
Racial And Ethnic Diversity Interpretation
Retention, Inclusion, And Programs
Retention, Inclusion, And Programs Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Elif Demirci. (2026, February 13). Diversity Equity And Inclusion In The Securities Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-securities-industry-statistics
Elif Demirci. "Diversity Equity And Inclusion In The Securities Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-securities-industry-statistics.
Elif Demirci. 2026. "Diversity Equity And Inclusion In The Securities Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-securities-industry-statistics.
Sources & References
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