--- NATIONAL WAGES ---
  total_employment : 132,130
  annual_median    : $81,100
  annual_pct10     : $48,460
  annual_pct25     : $61,290
  annual_pct75     : $110,410
  annual_pct90     : $151,490
  annual_mean      : $93,810
  hourly_median    : $38.99

--- GEOGRAPHIC DISPERSION ---
  highest_state    : District of Columbia ($125,110)
  lowest_state     : Puerto Rico ($39,270)
  dispersion_ratio : 3.186x

--- TOP STATES BY WAGE (51 total) ---
  Finance and Insurance                    emp:   44,600  median: $  78,410
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:   33,620  median: $  95,910
  Professional, Scientific, and Technical Services emp:    9,770  median: $ 100,780
  Management of Companies and Enterprises  emp:    9,310  median: $  84,220
  Health Care and Social Assistance        emp:    7,270  median: $  65,440
  Educational Services                     emp:    6,800  median: $  65,920
  Other Services (except Public Administration) emp:    5,480  median: $  45,800
  Administrative and Support and Waste Management and Remediation Services emp:    4,210  median: $  66,710
  Information                              emp:    2,290  median: $  81,140
  Manufacturing                            emp:    2,220  median: $  97,290

--- TOP INDUSTRIES BY EMPLOYMENT (19 total) ---
  Finance and Insurance                    emp:   44,600  median: $  78,410
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:   33,620  median: $  95,910
  Professional, Scientific, and Technical Services emp:    9,770  median: $ 100,780
  Management of Companies and Enterprises  emp:    9,310  median: $  84,220
  Health Care and Social Assistance        emp:    7,270  median: $  65,440
  Educational Services                     emp:    6,800  median: $  65,920
  Other Services (except Public Administration) emp:    5,480  median: $  45,800
  Administrative and Support and Waste Management and Remediation Services emp:    4,210  median: $  66,710
  Information                              emp:    2,290  median: $  81,140
  Manufacturing                            emp:    2,220  median: $  97,290

exact_match_status : found
matched_title      : David Marsh (financial specialist)
match_score        : 0.6061
wikidata_qid       : Q1175506
word_count         : 417
wikipedia_url      : https://en.wikipedia.org/wiki/David_Marsh_(financial_specialist)
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:18:37.713682Z

--- WIKIPEDIA FULL TEXT ---
David Wayne Marsh  (born 30 July 1952) is a British financial specialist, business consultant and writer on political, economic and monetary issues.


== Career and education ==
Marsh was born in Shoreham-by-Sea, Sussex on 30 July 1952. He started his career at Reuters in 1973 having graduated with a BA in chemistry from Queen's College Oxford. Between 1978 and 1995, he worked for the Financial Times newspaper in France and Germany, latterly as European Editor in London.
Following his journalism career, Marsh worked for City merchant bank Robert Fleming, corporate finance boutique Hawkpoint and German management consultancy Droege, where he built its UK subsidiary. He is former co-founder, chairman and deputy chairman of the German-British Forum as well as former Chairman of the Advisory Board of the London & Oxford Group.
Currently Marsh is a Senior Adviser to asset management company Soditic. He is also a Board Member of Henderson Eurotrust, and the British Chamber of Commerce in Germany, and visiting professor at Sheffield University’s department of politics and The Policy Institute at King's College London.
In 2010, Marsh co-founded the Official Monetary and Financial Institutions Forum (OMFIF), where he serves as Chairman.
Marsh is a frequent commentator in Europe and the US, writing articles for The Wall Street Journal's MarketWatch, and German newspaper Handelsblatt. He contributes occasionally to other media outlets that include Financial Times, New York Times.


== Awards and honours ==
In 2000, Marsh was appointed as a Commander of The Most Excellent Order of the British Empire for services to Anglo-German relations. and was awarded the German Order of Merit (Bundesverdienstkreuz) in 2003.


== Publications ==
Marsh has written six books, with his three most recent books published by Yale University Press and OMFIF Press. His books have been translated into German, Dutch, Spanish, Chinese, Japanese and Korean.

Germany – Rich, Bothered and Divided (1989)
The Bundesbank – The Bank that Rules Europe (1992)
Germany and Europe – The Crisis of Unity (1994)
The Euro – The Politics of the New Global Currency (2009) – re-released in 2011 as The Battle for the New Global Currency.
Europe's Deadlock: How the Crisis Could Be Solved - And Why It Won't Happen (2013). Updated in 2016 as Europe's Deadlock: How the Crisis Could Be Solved - And Why It Still Won't Happen..
Six Days in September (2017)
Can Europe Survive? (2025)


== References ==


== External links ==
MARSH, David Wayne, Who's Who 2015, A & C Black, 2015; online end, Oxford University Press, 2014

--- SEMANTIC NEIGHBORS (5) ---

  Title: Financial Times (similarity: 0.4681)
  URL: https://en.wikipedia.org/wiki/Financial_Times
  QID: Q183399
  Extract: The Financial Times (FT) is a British daily newspaper printed in broadsheet and also published digitally that focuses on business and economic current affairs. Based in London, the paper is owned by a Japanese holding company, Nikkei, with core editorial offices across Britain, the United States and

  Title: Women in the United States (similarity: 0.2069)
  URL: https://en.wikipedia.org/wiki/Women_in_the_United_States
  QID: Q17514041
  Extract: The legal status of women in the United States has advanced significantly over the past two centuries, but not yet equal to that of men in comparison to other high-income democracies.

  Title: Logistics specialist (similarity: 0.5000)
  URL: https://en.wikipedia.org/wiki/Logistics_specialist
  QID: Q6667667
  Extract: The logistics specialist (LS) is a US Navy enlisted rating that was created on 1 October, 2009 by the merger of the storekeeper (SK) and postal clerk (PC) ratings. It also included the previous functions of the former aviation storekeeper (AK) rating, which was previously merged into the former stor

  Title: Market maker (similarity: 0.1818)
  URL: https://en.wikipedia.org/wiki/Market_maker
  QID: Q1137319
  Extract: A market maker is a firm or individual that quotes both a buy and a sell price for a financial instrument and stands ready to trade at those quotes, profiting on the difference between the prices, known as the bid–ask spread. By committing capital to hold inventory and continuously posting quotes, m

  Title: Charter Court Financial Services (similarity: 0.4062)
  URL: https://en.wikipedia.org/wiki/Charter_Court_Financial_Services
  QID: Q21061495
  Extract: Charter Court Financial Services Group plc is a financial services company operating in the United Kingdom, which provides retail savings products, specialist mortgage products, mortgage administration services and credit analysis. Charter Court operates via three separate specialist brands: Charter

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : medium
confidence_notes     : Confidence is medium due to the broad, catch-all nature of this SOC code which encompasses many different specialized roles, making specific characterization challenging. The diverse job titles and lack of detailed skill/knowledge/activity data limit precision, though wage and industry data provide solid market intelligence.
inferred_at          : 2026-06-03T13:43:16.814782+00:00
tokens_input         : 2,308
tokens_output        : 3,211
cost_usd             : $0.036363
wikipedia_used       : True
wikipedia_title      : David Marsh (financial specialist)
wikipedia_note       : The Wikipedia match represents a specific individual rather than the occupation category, providing limited contextual value for understanding the diverse range of roles within Financial Specialists, All Other. The semantic neighbors suggest broader financial industry connections but don't specifically illuminate this catch-all category.

--- PROSE FIELDS ---

ROLE SUMMARY:
Financial Specialists, All Other represents a diverse group of specialized finance professionals who perform unique functions not captured in other defined financial occupations. These specialists work across banking, insurance, government, and professional services industries, handling specialized transactions, regulatory compliance, and risk management activities. They serve critical roles in maintaining financial system integrity through specialized expertise in areas like escrow services, bail bonding, securities trading, and financial aid administration.

DAY IN THE LIFE:
A Financial Specialist's daily activities vary significantly based on their specialized area, but typically involve analyzing financial documents, processing complex transactions, and ensuring regulatory compliance. An escrow agent might review purchase agreements and coordinate property transfers, while a bail bond agent evaluates risk assessments and manages client relationships. Securities traders monitor market conditions and execute trades, while financial aid officers review student applications and determine eligibility for assistance. Many specialists spend considerable time maintaining detailed records, communicating with clients and regulatory bodies, and staying current with industry-specific regulations and procedures.

WHO THRIVES:
Individuals who excel in specialized financial roles typically possess strong analytical and detail-oriented personalities, with the ability to work independently on complex, rule-driven processes. They thrive on solving unique financial problems and navigating intricate regulatory environments that require both technical expertise and interpersonal skills. Successful specialists demonstrate high integrity and trustworthiness, as they often handle sensitive financial information and significant monetary transactions. They tend to be methodical thinkers who can balance multiple competing priorities while maintaining accuracy under pressure, and often enjoy the variety that comes with handling diverse types of financial transactions or specialized client needs.

CAREER ENTRY:
Entry into specialized financial roles typically requires a bachelor's degree in finance, business administration, economics, or a related field, though some positions may accept equivalent experience or specialized training. Many roles require industry-specific licensing or certification, such as securities licenses for traders or state licensing for bail bond agents. Previous experience in banking, insurance, or related financial services is often valued, and some positions may require specialized training programs or apprenticeships. Professional development through industry associations and continuing education is frequently necessary to maintain required certifications and stay current with evolving regulations.

CAREER TRAJECTORY:
Financial Specialists often advance by developing deeper expertise in their specialized area, moving into supervisory roles, or transitioning to related financial positions with broader responsibilities. Escrow agents may become branch managers or start their own agencies, while securities traders might advance to portfolio management or investment banking roles. Many specialists leverage their specialized knowledge to transition into compliance, risk management, or financial consulting positions. Government financial specialists may advance through civil service ranks or transition to private sector roles, while those in private industry might move into executive positions or establish independent practices in their area of expertise.

MARKET INTELLIGENCE:
According to BLS OEWS May 2025 data, Financial Specialists earn a median annual wage of $81,100, with employment of 132,130 professionals nationwide, indicating strong demand for specialized financial expertise. The wage range spans from $48,460 to $151,490, reflecting the diversity of specializations and experience levels within this category. Geographic concentration is highest in the District of Columbia at $125,110 annually, likely due to government and regulatory agency presence, while Puerto Rico shows the lowest wages at $39,270, creating a 3.19x wage differential. The Finance and Insurance sector employs the most specialists (44,600), followed by government (33,620), indicating strong demand in both private and public sectors. Professional services firms employ an additional 9,770, suggesting growing demand for specialized financial consulting.

AUTOMATION OUTLOOK:
The automation risk for Financial Specialists varies significantly based on their specific area of expertise, with routine transaction processing roles facing higher risk than those requiring complex judgment and client interaction. Specialists involved in document review, compliance checking, and standardized transaction processing may see increased automation, while those providing personalized advisory services, handling complex negotiations, or making nuanced risk assessments are likely to remain in high demand. The diverse nature of this occupation category means that while some functions may be automated, the need for human expertise in specialized financial areas will likely persist.

--- REASONED EDGES ---
  [skill_overlap] Financial and Investment Analysts (13-2051) — confidence:high
    reasoning: Both roles require financial analysis capabilities and work in similar industries according to employment data.
    data: Finance and Insurance industry employment
    data: Analytical requirements
  [wage_band] Loan Officers (13-2072) — confidence:medium
    reasoning: Similar median wage levels and both work extensively in financial services sector.
    data: Median wage $81,100
    data: Finance and Insurance employment
  [task_similarity] Bookkeeping, Accounting, and Auditing Clerks (43-3031) — confidence:medium
    reasoning: Both roles involve detailed financial record-keeping and document processing activities.
    data: Financial document processing
    data: Regulatory compliance requirements
  [knowledge_overlap] Compliance Officers (13-1041) — confidence:high
    reasoning: Both require extensive knowledge of regulations and government compliance in financial sector.
    data: Government employment (33,620)
    data: Regulatory compliance focus
  [transferable_skill] Securities, Commodities, and Financial Services Sales Agents (41-3031) — confidence:medium
    reasoning: Securities trading roles listed in job titles indicate overlap with sales agent capabilities.
    data: Futures Trader job title
    data: Securities Trader job title

--- NORMALIZER SIGNALS ---
  match_keywords   : ['financial specialist', 'escrow agent', 'bail bond', 'securities trader', 'financial aid coordinator', 'estate administrator', 'futures trader', 'bail bondsman']
  exclude_keywords : ['financial analyst', 'loan officer', 'insurance agent', 'accountant', 'bookkeeper']
  title_patterns   : ['Specialist, All Other', 'Financial Specialist', 'Bond Agent', 'Escrow', 'Estate Administrator']
  common_variations: ['Financial Specialists', 'Finance Specialist', 'Bail Bond Agent', 'Bail Bondsman', 'Escrow Agent', 'Estate Administrator', 'Financial Aid Officer', 'Securities Trader']

total_terms    : 40
top_words      : ['financial', 'specialized', 'specialists', 'marsh', 'services', 'europe', 'expertise', 'specialist', 'german', 'risk', 'british', 'management', 'demand', 'regulatory', 'times', 'germany', 'london', 'finance', 'former', 'chairman']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
financial                  33  0.04120  inference            inference:73%  wikipedia:27%
specialized                14  0.01748  inference            inference:100%
specialists                12  0.01498  inference            inference:100%
marsh                       9  0.01124  wikipedia            wikipedia:100%
services                    9  0.01124  inference            inference:56%  wikipedia:44%
europe                      7  0.00874  wikipedia            wikipedia:100%
expertise                   7  0.00874  inference            inference:100%
specialist                  6  0.00749  wikipedia            wikipedia:83%  inference:17%
german                      6  0.00749  wikipedia            wikipedia:100%
risk                        6  0.00749  inference            inference:100%
british                     5  0.00624  wikipedia            wikipedia:100%
management                  5  0.00624  inference            inference:60%  wikipedia:40%
demand                      5  0.00624  inference            inference:80%  wikipedia:20%
regulatory                  5  0.00624  inference            inference:100%
times                       4  0.00499  wikipedia            wikipedia:100%
germany                     4  0.00499  wikipedia            wikipedia:100%
london                      4  0.00499  wikipedia            wikipedia:100%
finance                     4  0.00499  inference            inference:75%  wikipedia:25%
former                      4  0.00499  wikipedia            wikipedia:100%
chairman                    4  0.00499  wikipedia            wikipedia:100%
million                     4  0.00499  wikipedia            wikipedia:100%
market                      4  0.00499  wikipedia            wikipedia:75%  inference:25%
mortgage                    4  0.00499  wikipedia            wikipedia:100%
diverse                     4  0.00499  inference            inference:100%
government                  4  0.00499  inference            inference:100%
transactions                4  0.00499  inference            inference:100%
compliance                  4  0.00499  inference            inference:100%
securities                  4  0.00499  inference            inference:100%
complex                     4  0.00499  inference            inference:100%
category                    4  0.00499  inference            inference:100%
july                        3  0.00375  wikipedia            wikipedia:100%
business                    3  0.00375  wikipedia            wikipedia:67%  inference:33%
economic                    3  0.00375  wikipedia            wikipedia:100%
monetary                    3  0.00375  wikipedia            wikipedia:67%  inference:33%
career                      3  0.00375  wikipedia            wikipedia:100%
oxford                      3  0.00375  wikipedia            wikipedia:100%
newspaper                   3  0.00375  wikipedia            wikipedia:100%
bank                        3  0.00375  wikipedia            wikipedia:100%
group                       3  0.00375  wikipedia            wikipedia:67%  inference:33%
university                  3  0.00375  wikipedia            wikipedia:100%