Key Takeaways
- Women in US finance earned 82 cents per dollar of male counterparts in 2023.
- Black employees in banking faced a 35% pay gap vs. white peers in 2022.
- In 2023, Hispanic finance professionals earned 78% of non-Hispanic white pay.
- In 2023, women represented 52% of entry-level positions in US financial services firms but only 27% of C-suite roles, highlighting a persistent leadership gap.
- Globally, female representation in finance executive teams averaged 19% in 2022, compared to 25% across all industries.
- In UK banking, women held 35% of senior manager positions in 2023, up from 32% in 2020.
- 78% of US finance employees report feeling included in 2023 surveys.
- In 2022, 62% of diverse employees experienced microaggressions in finance.
- 85% of firms with DEI programs saw higher retention in 2023.
- Only 8% of Fortune 500 finance CEOs were women or minorities in 2023.
- In 2022, 14% of global bank board seats were held by people of color.
- US private equity firms had 12% diverse (non-white male) managing partners in 2023.
- In 2023, Black employees comprised 13% of the US finance workforce, up from 10% in 2019.
- Hispanic/Latino professionals held 9% of banking positions in the US in 2022, despite 19% population share.
- Asian employees made up 18% of finance roles in Silicon Valley firms in 2023, but underrepresented in leadership.
Pay gaps persist in finance despite growing DEI efforts, with women and minorities still earning less.
Equity/Pay
Equity/Pay Interpretation
Gender
Gender Interpretation
Inclusion/Surveys
Inclusion/Surveys Interpretation
Leadership
Leadership Interpretation
Race/Ethnicity
Race/Ethnicity 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.
Alexander Schmidt. (2026, February 13). Diversity Equity And Inclusion In The Finance Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-finance-industry-statistics
Alexander Schmidt. "Diversity Equity And Inclusion In The Finance Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-finance-industry-statistics.
Alexander Schmidt. 2026. "Diversity Equity And Inclusion In The Finance Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-finance-industry-statistics.
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