entityType = "role"
schemaVersion = "role.v1"
slug = "role-13-2099-00"
socCode = "13-2099.00"
title = "Financial Specialists, All Other"
summary = "All financial specialists not listed separately."
aliases = ["Adjuster", "Bail Agent", "Bail Bond Agent", "Bail Bondsman", "Bank and Savings Securities Trader", "Bondsman", "Escrow Agent", "Escrow Closer", "Estate Administrator", "Executor of Estate", "Financial Aid Coordinator", "Financial Aid Officer"]
tasks = []
emergingTasks = []
activities = []
capabilities = []
skills = []
tools = []
workContext = []
personFit = []
relatedRoles = []

[preparation]
educationDistribution = []

[educationLevel]
category = "Bachelor's degree"
slug = "bachelor-s-degree"

[market]
medianWage = 80190
meanWage = 93890
pct10Wage = 46420
pct25Wage = 60140
pct75Wage = 109120
pct90Wage = 151780
employment = 127450
areaTitle = "U.S."

[industries]
count = 31

[[industries.top]]
naics = "52"
slug = "52"
title = "Finance and Insurance"
level = "Sector"
employment = 40340
medianWage = 78030
lq = 7.84

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 10290
medianWage = 81030
lq = 4.43

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 7640
medianWage = 63750
lq = 0.68

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 7510
medianWage = 93690
lq = 0.84

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 7030
medianWage = 64930
lq = 0.37

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 5080
medianWage = 52770
lq = 1.39

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 4220
medianWage = 64070
lq = 0.57

[[industries.top]]
naics = "51"
slug = "51"
title = "Information"
level = "Sector"
employment = 2700
medianWage = 82900
lq = 1.12

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 2280
medianWage = 77880
lq = 0.46

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 2200
medianWage = 105650
lq = 0.21

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 2130
medianWage = 72560
lq = 0.17

[[industries.top]]
naics = "524210"
slug = "524210"
title = "Insurance Agencies and Brokerages"
level = "National industry"
employment = 1100
medianWage = 83870
lq = 1.34

[[industries.concentrated]]
naics = "52"
slug = "52"
title = "Finance and Insurance"
level = "Sector"
employment = 40340
lq = 7.84

[[industries.concentrated]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 10290
lq = 4.43

[[industries.concentrated]]
naics = "813930"
slug = "813930"
title = "Labor Unions and Similar Labor Organizations"
level = "National industry"
employment = 160
lq = 1.83

[[industries.concentrated]]
naics = "524114"
slug = "524114"
title = "Direct Health and Medical Insurance Carriers"
level = "National industry"
employment = 600
lq = 1.62

[[industries.concentrated]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 5080
lq = 1.39

[[industries.concentrated]]
naics = "524210"
slug = "524210"
title = "Insurance Agencies and Brokerages"
level = "National industry"
employment = 1100
lq = 1.34

[[industries.concentrated]]
naics = "51"
slug = "51"
title = "Information"
level = "Sector"
employment = 2700
lq = 1.12

[[industries.concentrated]]
naics = "22"
slug = "22"
title = "Utilities"
level = "Sector"
employment = 430
lq = 0.9

[aiOutlook]
teleworkable = true
usageTasks = []

[aiOutlook.index]
value = 82
percentile = 87
band = "High"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 93
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 73
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 79
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.33
percentile = 40
band = "Moderate"
note = "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."

[aiOutlook.eloundou]
alpha = 0.09090909090909091
beta = 0.4772727272727273
gamma = 0.8636363636363636

[aiOutlook.bls]
growthPercent = 3.1
growthPercentile = 53
direction = "About average"
annualOpeningsThousands = 10.3
annualOpeningsPercentile = 64
employment2024Thousands = 137.1
employment2034Thousands = 141.4

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = 1.361362
percentile = 93
band = "High"
note = "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.8636363636363636
percentile = 73
band = "High"
note = "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.24584331921272928
percentile = 79
band = "High"
note = "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."

[[aiOutlook.sources]]
source = "bls_employment_projections"
version = "2024-2034"

[[aiOutlook.sources]]
source = "dingel_neiman"
version = "dingel-neiman-workathome"

[[aiOutlook.sources]]
source = "felten_aioe"
version = "felten-raj-seamans-aioe"

[[aiOutlook.sources]]
source = "frey_osborne"
version = "frey-osborne-automation"

[[aiOutlook.sources]]
source = "microsoft_working_with_ai"
version = "working-with-ai"

[[aiOutlook.sources]]
source = "openai_gpts_are_gpts"
version = "gpts-are-gpts"

[counts]
tasks = 0
skills = 0
capabilities = 0
tools = 0
relatedRoles = 0

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "86d59b45a06e9f84"

[[careerClusters]]
cluster = "Financial Services"
slug = "financial-services"

[[studyPrograms]]
title = "Business, Management, Marketing, and Related Support Services"
slug = "business-management-marketing-and-related-support-services"

[[studyPrograms]]
title = "Mathematics and Statistics"
slug = "mathematics-and-statistics"

[[studyPrograms]]
title = "Theology and Religious Vocations"
slug = "theology-and-religious-vocations"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.33
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = 1.361362
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = 1.221234
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = 1.252594
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
