AI and machine learning
Artificial intelligence and machine learning are rapidly changing how financial institutions trade, manage risk, analyse data and automate complex processes. As adoption accelerates, firms must balance opportunities for greater speed, efficiency and insight with challenges around governance, explainability, data quality and regulatory oversight.
Risk.net explores the evolving use of AI across financial markets, spanning generative and agentic AI, quantitative modelling and trading, risk management, compliance and financial crime, model governance, data and infrastructure, and the practical challenges of deploying AI at scale.
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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
MRM: how banks are scaling models in the age of AI
MRM capabilities are evolving to ensure compliance while helping organisations retain a competitive edge
MRM: How banks are scaling models in the age of AI
MRM capabilities are evolving to ensure compliance while helping organisations retain a competitive edge
Why AI-related conduct risk is reshaping the business agenda
Trust in AI-only approaches remains limited, and explainability is becoming critical to modern risk management
AI in Apac regulatory reporting: the growing case for agentic automation
How Apac banks are tackling the regulatory reporting challenge, and what it will take to scale AI responsibly in this area
CRO view: Emerging risks in the age of AI
The risk agenda is shifting beyond market and credit volatility towards operational resilience, AI governance and culture
Harnessing LLMs for financial alpha
Fine-tuned language models are transforming sentiment analysis and signal generation from news data
From alerts to answers: overcoming the false comfort of automation in financial crime compliance
How institutions can align tech, governance and human judgement to transform compliance
AI and the next era of Apac compliance
How Apac compliance leaders are preparing for the next era of AI-driven oversight
AI and the next era of Apac compliance
How Apac compliance leaders are preparing for the next era of AI-driven oversight
Adapting to technology shifts and market disruption in the age of AI
How AI, data, cloud and cross-functional governance are reshaping risk management and organisational transformation
Removing the barriers to AI success
Addressing challenges of data quality and governance to scale AI for competitive advantage
Building reliable and successful LLM-based workflows
How AI is reshaping analytics, compliance and modelling in finance
AI in capital markets: bridging predictive precision with generative possibility
Regulatory requirements, compliance demands and concerns over data quality and consistency are prompting firms to approach AI with renewed caution and clarity
Optimising AI and cloud transformation to modernise financial services in a dynamic regulatory landscape
Financial institutions are leveraging AI to modernise their infrastructures while navigating regulatory priorities and challenges
Boosting regulatory assessment with GenAI: Prometeia’s use case for credit risk models
Prometeia’s GenAI tool provides institutions with the technology to remain competitive and compliant in a complex regulatory environment
Front office open to AI promise
AI offers real potential for capital markets firms. But how disruptive, and how immediate, will the impact be?
Revolutionising compliance: next-gen technology for new-age regulation
A whitepaper exploring prevailing compliance challenges and the implications of regulatory changes on data and reporting technology
Best use of machine learning/AI: CompatibL
CompatibL won Best use of machine learning/AI at the 2025 Risk Markets Technology Awards for its use of LLMs for automated trade entry, redefining speed and reliability in what-if analytics
Elevating financial crime compliance and data management through AI
AI, process automation and strategic data management can effectively combat financial crime. However, the power can be in the hands of good and bad actors