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Exploring Mothers' Experiences Returning to Work in Financial Planning: A Thematic Analysis

Megan McCoy et al.

Financial Planning Review2025https://doi.org/10.1002/cfp2.70008article
ABDC B
Weight
0.37

Abstract

Women are significantly underrepresented in the financial planning profession. This gender gap is surprising given the potential for higher income, the opportunity to help clients, and work‐life balance in financial planning, traits typically attractive to female candidates. Research into the broader workforce suggests inadequate return to work and family leave policies as major reasons women leave their jobs. This study employs an exploratory qualitative approach, conducting focus groups with women who had children while working as financial planners. The aim is to identify factors that promote and hinder women's representation in financial planning, reducing attrition, and increasing success rates. Guided by social exchange theory, five online focus groups were conducted ( n = 26). Thematic analysis revealed five key themes: (1) diverse parental leave experiences, (2) trying to find balance, (3) changes needed at the societal level, (4) changes needed specifically in financial planning, and (5) aspects that make financial planning potentially a great profession for women. Findings are linked to previous research, discussing implications for future research and practical applications.

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https://doi.org/https://doi.org/10.1002/cfp2.70008

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@article{megan2025,
  title        = {{Exploring Mothers' Experiences Returning to Work in Financial Planning: A Thematic Analysis}},
  author       = {Megan McCoy et al.},
  journal      = {Financial Planning Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1002/cfp2.70008},
}

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Exploring Mothers' Experiences Returning to Work in Financial Planning: A Thematic Analysis

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.