Technology and data
Technology and data are reshaping how financial institutions trade, manage risk and make decisions. Artificial intelligence, cloud computing and increasingly sophisticated analytics are creating new opportunities for automation, scalability and insight while raising fresh challenges around governance, resilience and regulation.
Risk.net explores the latest developments in financial technology and data, spanning AI and machine learning, cloud and compute, data management and analytics, risk and trading infrastructure, model development and emerging technologies.
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Operationalising AI: building governance foundations for capital markets risk
Senior industry leaders and practitioners explore how firms are integrating AI into enterprise risk and capital management
Operationalising AI in capital markets risk infrastructures
How firms are embedding AI into workflows such as FRTB capital calculation, P&L explain and intraday risk monitoring
From insight to execution: building the next-generation cross-asset platform
The shift from research-led platforms to fully integrated client solutions – how closer alignment between platforms is shaping the client experience
Digital asset and crypto compliance: new risks and regulatory expectations
How leading institutions are approaching cross-asset oversight and building more resilient, future-ready compliance frameworks
Digital asset and crypto compliance: new risks and regulatory expectations
How leading institutions are approaching cross-asset oversight and building more resilient, future-ready compliance frameworks
How can Apac banks harness AI for regulatory reporting?
A Q&A with Nasdaq’s Subbaiyan Vaithinathan and Uttam Albela
Financing Connect: real-time optimisation in private credit financing
J.P. Morgan’s Financing Connect, part of its Vida platform, reflects a shift towards structured data and scenario-driven analytics
Industrialising the challenge process: AI in operational risk scenario analysis
How structured modelling and AI could help industrialise the challenge process
Rethinking post trade for OTC derivatives
LSEG’s TradeAgent platform aims to improve efficiency and resilience in post trade
Harnessing LLMs for financial alpha
Fine-tuned language models are transforming sentiment analysis and signal generation from news data
Integration strengthens e-trading in persistently volatile markets
Survey reveals that traders are grappling with daily volatility, while technology outranks liquidity as the top market structure concern
Reach new heights with real-time data via Cboe Global Cloud
Cboe Global Cloud provides clients with access to Cboe market data with as little as an internet connection
Transforming the trade lifecycle with pricing and reference data in the cloud
LSEG is developing its cloud-based data service to reflect how financial institutions now use information to feed systems and generate insight
Liquidity in private markets: the structural and data challenge
How structural and data-driven innovations are converging to address the liquidity challenge in private markets
Bringing trading-desk data into derivatives pricing models
PricingDirect’s new autocallable model, which reflects the shift towards data-driven transparency as firms rethink how they value complex derivatives
Streamlining trade execution and operations through interoperability
How financial institutions can benefit from State Street’s suite of trading platforms, GlobalLINK
Breaking silos: agile insurance in an uncertain world
Insurers are realigning strategy and operations in the face of growing uncertainty and more complex risk
Post-trade processing: the next horizon
The changing shape of post-trade and how market demand is shaping innovation on OSTTRA MarkitWire and beyond
Untangling corporate actions data complexity
LSEG is developing AI capabilities and leveraging expert validation to bring structure and speed to corporate actions data
SRT growth raises fresh questions on valuation and risk
SRT growth and the implications for banks, investors and regulators
Repricing risk in a global rate reset
Firms are reallocating risk exposure, evolving forecasting models and leveraging deep macroeconomic data to uncover patterns and challenge assumptions