Most people think fintech is about sexy apps and APIs. The consumer-facing technology. The challenger banks with slick interfaces. The payment providers processing billions in transactions.
But there is another layer. The infrastructure underneath. The systems that make all of it possible.
LSEG operates at a level most fintech founders never see. They are not building consumer apps. They are building the infrastructure those apps depend on. The data feeds, the trading systems, the clearing mechanisms and the compliance frameworks.
Every time a fintech startup checks if a customer is on a sanctions list, verifies their identity, or prices a financial product, they are probably touching this infrastructure somewhere in the chain. Data and analytics. Risk intelligence. Post-trade systems. The machinery of global finance.
What Infrastructure Actually Does
“LSEG is a global financial markets infrastructure and data provider, operating at the centre of the world’s financial ecosystem,” explains Mark Pitt. “Our mission is to drive financial stability, empower economies, and enable sustainable growth, guided by our values of Integrity, Partnership, Excellence, and Change.“
The business spans five core divisions. Data & Analytics provides high-value financial information and analytics that help customers manage risk, improve efficiency, and make informed decisions. FTSE Russell offers trusted indices across asset classes and investment styles. Risk Intelligence delivers solutions that help organizations navigate regulatory complexity, reduce fraud, and protect against financial crime. Capital Markets operates a global platform enabling the raising and transfer of capital, including the London Stock Exchange alongside FXall and Tradeweb for multi-asset electronic trading. Post Trade provides end-to-end clearing, settlement, and risk management services throughout the trading lifecycle.
These pieces connect in ways that matter for fintech innovation. You cannot build a lending platform without reliable data, you cannot scale a payments business without proper compliance infrastructure and you cannot tokenize assets without post-trade capabilities that work.
“The next phase of fintech
innovation will not come
from better interfaces or
more convenient apps.
It will come from better
infrastructure.”
Mark Pitt
Group Director of Sales,
Northern Europe at LSEG
One development worth noting is LSEG’s Digital Markets Infrastructure platform. “This blockchain enabled, Azure based post trade solution supports tokenisation, real time settlement, and interoperability between traditional systems and distributed ledger technology,” says [LSEG spokesperson]Mark Pitt, “addressing long standing industry challenges around scalability and regulated digital asset infrastructure.“
This is not theoretical, it actually addresses how to move assets on-chain while maintaining the regulatory oversight and operational reliability that traditional markets require. It addresses how to create interoperability between legacy systems and distributed ledgers and h. How to enable innovation without fragmenting liquidity or creating new systemic risks.
Last chance: Get your tickets for Stockholm Fintech Week March 19
The Nordic Context
The Nordic region has long been at the forefront of digital finance innovation. Sweden pioneered digital payments and maintains one of the world’s most cashless economies. Denmark leads in regulatory technology and digital identity solutions. Finland and Norway have built strong ecosystems around sustainable finance and AI-driven financial services.
As these markets mature, they face the same regulatory complexity affecting the rest of Europe. MiCAR, DORA, PSD3, and the EU AI Act are reshaping requirements around crypto markets, cybersecurity, payments, and artificial intelligence deployment.
What Is Changing
AI is reshaping expectations across financial services. Not just in how products work, but in what customers expect from speed, accuracy, and personalization.
“AI is reshaping financial markets in unexpected ways,” says [LSEG spokesperson]Mark Pitt.
The approach focuses on three areas. First, trusted data. Curating high-quality, transparent, and responsibly sourced data to scale AI safely and effectively across financial services. Second, transformative products. Reimagining workflows across the industry with AI-enabled tools that enhance speed, simplicity, and conviction in decision-making. Third, intelligent enterprise. Embedding AI across operations to innovate faster and serve customers with greater precision and reliability.
Last chance: Get your tickets for Stockholm Fintech Week March 19
This matters because AI models are only as good as the data they train on. Financial services data has unique requirements around accuracy, timeliness, lineage, and regulatory compliance. Getting this right at scale requires infrastructure that was purpose-built for financial markets, not retrofitted from consumer internet applications.
The emphasis on trusted data is not abstract. It is about ensuring that when an AI model makes a credit decision, prices a derivative, or flags a suspicious transaction, it is working from information that is verifiable, auditable, and defensible under regulatory scrutiny.
The Core Problems
Clients face operational complexity. Fragmented systems that do not talk to each other. Manual processes that do not scale. Legacy architectures that cannot support new use cases. They face regulatory pressure. Rapid change in rules and expectations. Expanding KYC and AML requirements. Shifting capital rules. Increased supervisory scrutiny. They face market volatility and the need to manage risk in real time while maintaining control and oversight.
“Clients struggle with rapid regulatory change, expanding KYC and AML requirements, shifting capital rules, and increased supervisory scrutiny,” [LSEG spokesperson]Mark Pitt explains. The response involves market-leading RegTech capabilities including surveillance, automated due diligence, and enhanced regulatory reporting, while also working actively with regulators and modernizing market structure.
For firms managing volatility, there are integrated workflows that combine FXall, Advanced Dealing, liquidity analytics, and automated execution to help manage currency risk and strengthen operational control. For compliance challenges, there are surveillance tools and automated due diligence systems that reduce manual work while improving coverage and consistency.
These are not separate problems. They compound each other. Operational complexity makes it harder to respond to regulatory change. Regulatory requirements add operational burden. Market volatility exposes weaknesses in both.
Where This Goes
Infrastructure providers are modernizing their technology stacks. Making systems faster, more reliable, more interoperable. Building the data foundations that AI requires. Creating workflows that reduce friction between different parts of the financial system.
“Our top priority is to lead technology transformations for advanced, seamless customer experiences,” says [LSEG spokesperson]Mark Pitt. “We are modernising our technology stack to deliver the most advanced solutions with greater speed, reliability, and interoperability. This transformation will enable more seamless client workflows and set a new standard for how institutions access and use data, analytics, and market infrastructure.“
The work is not flashy. It is foundational. Data quality. System reliability. Regulatory compliance. API design. Cloud architecture. The technical work that determines whether fintech ecosystems scale or stall.
Last chance: Get your tickets for Stockholm Fintech Week March 19
The companies building consumer-facing products get the attention. They are visible. They have brands that are generally known. They interact directly with end users. But the infrastructure layer matters just as much. It is what makes everything else possible. It is what allows a startup in Stockholm to compete with an established bank in Frankfurt. It is what enables innovation without fragmenting markets or creating new risks.
The next phase of fintech innovation will not come from better interfaces or more convenient apps. It will come from better infrastructure. Data that is more comprehensive and reliable. Compliance that is more automated and consistent. Systems that interoperate seamlessly across borders and asset classes. That is the layer where the work happens.
