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SERVICE INFRASTRUCTURE

Financial Media & Data

Delivers prices and news to everyone equally fast — decisions rest on them.

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Its role in the system

The nervous system of finance: prices, news, financial statements and macro data have to reach every participant quickly and on equal terms. Data providers deliver quotes in fractions of a second, financial media explain and investigate, and every decision — from a loan to a trade on an exchange — is taken on the basis of this information.

Functions

  1. Real-time market data — quotes, trades and yield curves from exchanges and the over-the-counter market (Bloomberg, LSEG, ICE Data Services).
  2. Reference data — directories of instruments and companies: ISIN codes, bond terms, corporate actions, legal entity identifiers (LEI); without them no trade and no report goes through.
  3. Terminals and analytical platforms — Bloomberg Terminal, LSEG Workspace: data, news, analytics, chat and trading in one window.
  4. Financial news and investigations — FT, WSJ, Bloomberg News, Reuters; journalists sometimes expose fraud before auditors and regulators do.
  5. Fundamental and alternative data — company reports, macro statistics, and also satellite imagery, card transactions and web data, in the search for an information edge.
  6. Disclosure channels — the official systems through which issuers publish material news (🇺🇸 SEC EDGAR, 🇪🇺 the national officially appointed mechanisms, on top of which the European Single Access Point is being built).

What makes it special

  • How it earns, and why there are so few players: income comes from subscriptions to terminals and data feeds, licences to use data inside products and algorithms, and in media from subscriptions and advertising; exchanges sell their own quotes too, and for many that is a large business. The market is heavily concentrated: the key infrastructure is held by a few global groups (Bloomberg, LSEG, S&P Global, ICE, FactSet) that combine data, indices and ratings (LSEG — FTSE Russell; S&P Global — S&P and S&P DJI), so an outage at one provider is felt across the whole market.
  • Equal access to information: a market is fair only when everyone receives material news at the same moment. That is why issuers disclose information under rules (🇪🇺 the MAR regulation, 🇺🇸 Regulation FD), and trading on inside information is a crime.
  • Regulation: journalism is governed by general law and ethics, but spreading false rumours to move prices is market manipulation. Data services linked to trading are regulated in 🇪🇺 by MiFID II / MiFIR (transaction reporting, the consolidated tape of quotes).
  • Media are not social networks: editorial standards and source checking are what separate professional outlets from anonymous channels and "finfluencers". Advice posted on social media is not outside the law: anyone who publicly recommends an instrument falls under the rules on investment recommendations and must disclose who pays them. 🇬🇧 In February 2026 a London court convicted seven influencers for illegally promoting derivatives trading, and the same year the European Parliament passed a resolution calling for common European rules for finfluencers.
  • 🇨🇳 China: its own terminal and its own limits on access: the professional data standard here is the Wind terminal (Shanghai, founded in 1998), the largest local equivalent of Bloomberg. Since September 2022, after new data security rules, it has restricted foreign users' access to part of the information — so data itself became a matter of state policy. The private business activity index that ran for more than a decade under the Caixin brand has been called RatingDog since August 2025 and is compiled by S&P Global: the market reads it separately from official statistics, because the sample of companies is different.
  • 🇯🇵 Japan: the publisher that bought a global title: the Nikkei group owns both the market data service QUICK (terminal quotes since 1971) and Britain's Financial Times, bought in 2015 for 844 million pounds — a rare case of an Asian media business owning a global financial title, and a telling one: in financial media the value is not in the printing press but in the archive, the readers and the data flow.

Why it matters

A market works exactly as well as the information it stands on: a fake news item moves prices in seconds, a data outage halts trading, and a bold investigation can expose fraudsters that auditors and regulators missed.

🇺🇸 The fake AP post, April 2013

Hackers broke into the Associated Press account on Twitter and published a "report" of explosions at the White House. Trading algorithms that read news feeds reacted instantly: within minutes the S&P 500 lost more than 136 billion dollars of value, and recovered as soon as the fake was denied.

🇬🇧 The Bloomberg outage, April 2015

A global failure of Bloomberg terminals left traders without quotes, and the UK Debt Management Office postponed an auction of Treasury bills worth 3 billion pounds. The episode showed how dependent the system is on a handful of data suppliers.

🇺🇸 Elon Musk's "funding secured" tweet, 2018

Musk wrote on Twitter that he had the funding to take Tesla private at 420 dollars a share; the share price jumped, but no such arrangement actually existed. The SEC charged him with misleading disclosure: Musk and Tesla each paid a 20 million dollar penalty, and he stepped down as chairman of the board for three years. The case shows that for the market a social media post can be an official company announcement.

Links to other zones · 11

  • Audit & AssuranceFinancial Media & Data often see what Audit & Assurance missed: in the Wirecard case press investigations ran for years while the audit opinion stayed clean.
  • Commodities marketFinancial Media & Data decide which number commodity contracts are struck against: if a published price assessment is wrong, the thousands of deals indexed to it are wrong with it.
  • Corporations & Corporate FinanceFinancial Media & Data is not a bystander: what is published about a company moves its cost of capital, which is why Corporations & Corporate Finance keep an investor relations desk and disclose on a schedule — better to explain than to let the market fill the gap.
  • Education & CertificationFinancial Media & Data doubles as Education & Certification — courses, podcasts and Bloomberg Market Concepts lower the barrier to entering the profession and keep practitioners learning.
  • Exchanges & platformsExchanges & platforms are the original source of market data and sell it to Financial Media & Data, which distributes quotes around the world.
  • Financial Market InfrastructureFinancial Media & Data works to the disclosure rules written by Financial Market Infrastructure, which also punishes manipulation and insider dealing.
  • Households & IndividualsFinancial journalism and educational channels inside Financial Media & Data are the main source of money knowledge for Households & Individuals without a finance education.
  • Investment & Pension FundsInvestment & Pension Funds are the main buyers of terminals and alternative data, and the informational edge from Financial Media & Data is part of the hedge fund model.
  • Ratings & IndicesFinancial Media & Data distributes the output of Ratings & Indices through the same terminals and news feeds, and the two often sit inside the same corporate groups.
  • Stock marketReports, news and analysis in Financial Media & Data form Stock market prices, and disclosing material information is the duty of the issuer.
  • Technology & InfrastructureFinancial Media & Data runs on Technology & Infrastructure: data centres, cloud storage and AI for parsing news and alternative data.

Careers in this zone · 6

Financial journalist / investigative reporter

Writes news and analysis about markets, companies and central banks; the most valuable work is investigation: months with documents, sources and data to show what a company is hiding. Answers for accuracy — an error can move prices and end in court.

What you need to know

  • Reading financial statements
  • How markets, banks and central banks work
  • Media law: defamation, protection of sources
  • Market abuse rules

Skills

  • Working with sources and documents
  • Fast and clear writing
  • Analysis of data and registers
  • Standing up to pressure and threats

Certifications: Usually not required — published work counts; CFA (Level I) or finance courses are a plus

Breaking markets news editor

Is first to bring the market the key events — a central bank decision, inflation data, a minister's statement — in short headlines within seconds. Those headlines are read by people and by trading algorithms alike, so a mistake costs the market real money.

What you need to know

  • The macro data calendar and how to read it
  • Monetary policy
  • Embargo and lock-up rules for journalists
  • Editorial verification standards

Skills

  • Speed and accuracy under pressure
  • Concise writing
  • Checking a source in seconds

Certifications: Not required — experience and an economics background are valued

Financial data engineer

Builds and maintains the data flows: quotes, trades and reference data from exchanges and providers — cleans them, reconciles them, controls quality and delivers them into trading systems, risk models and reporting. A wrong price or a missed corporate event means wrong decisions and wrong reports.

What you need to know

  • The structure of market and reference data (ISIN, LEI, corporate actions)
  • Protocols and formats: FIX, provider APIs
  • Licensing limits on the use of data
  • The basics of financial instruments

Skills

  • Python, SQL
  • ETL and cloud data platforms
  • Data quality control
  • Investigating discrepancies between sources

Certifications: Not required — cloud certifications (AWS, Azure, GCP) and CFA (Level I) as a plus

Market data manager

Inside a bank or fund, is responsible for every data source: which terminals and feeds to buy, who is entitled to use them, whether the firm complies with the licence terms of providers and exchanges. A breach of those terms brings serious claims during provider audits.

What you need to know

  • The provider market and its products
  • Licensing models (per user, for algorithms, derived data)
  • Exchange rules on the use of data
  • The needs of the front office and risk management

Skills

  • Vendor negotiation
  • Contract and budget management
  • Analysis of actual usage
  • Communication with the business

Certifications: Usually not required — experience at a provider or an exchange counts

Terminal support and sales specialist

Advises users — traders, analysts, treasurers — on how to find the data they need, build an analysis, set up a workspace; helps clients choose products. This is often an entry point into the industry and a route into a product role at a provider.

What you need to know

  • Terminal functionality and data sources
  • Financial instruments across all asset classes
  • How trading and analytical desks work

Skills

  • Resolving queries quickly
  • Explaining complex things in simple words
  • Foreign languages
  • Excel and API integrations

Certifications: Bloomberg Market Concepts is a useful start; then CFA

Alternative data researcher

Looks for new sources of information about companies and the economy — satellite images of car parks and tankers, anonymised card transactions, job postings, app traffic — and tests whether they really predict sales, profit or prices. Works at hedge funds, data providers or banks.

What you need to know

  • Statistics and econometrics
  • Fundamental analysis of companies
  • The legal limits: data protection (GDPR), the risk of inside information
  • The market of data suppliers

Skills

  • Python (pandas), machine learning
  • Web data collection
  • Backtesting signals
  • Scepticism towards noise in the data

Certifications: Not required — CFA or CQF as a plus

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