Artificial intelligence
Increasing trust to artificial intelligence in finance: AI model validation framework
This paper highlights the risks of using AI in financial applications and provides significant motivations for having an AI validation framework to control and eliminate those risks
The impact of emerging risk on credit portfolio management
Bank credit portfolio managers are increasingly finding that non-financial risks, such as cyber risk and climate risk, are falling under the remit of credit portfolio management. This will also be impacted by the upcoming Basel III Final Reforms, which…
Adapting to economic uncertainty: internal audit’s journey
In this report, internal auditors in different sectors have shared their experiences and strategies, providing valuable insights for others facing similar challenges
AI in sheep’s clothing? Wolfe Research develops finance chatbot
Bot is trained in financial and ESG data, but won’t replace humans – yet – says firm
BoE model risk rule may drive real-time monitoring of AI
New rule requires banks to rerun performance tests on models that recalibrate dynamically
Citi cyber chief says AI providing new weapons in hacking wars
Barron-DiCamillo also urges regulators to work with industry best practice, not against it
Banks, asset managers look to vendors for T+1 support
This whitepaper focuses on the upcoming move in the US to T+1 (next-day settlement) of broker-dealer-executed trades.
Raising the bar on operational resilience
The FCA's operational resilience guidelines set clear expectations for how financial firms should strengthen their resilience against operational disruptions. But how are firms faring in meeting these goals?
Banks’ internal watchdogs bark back at ChatGPT
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
The playmakers: risk management’s role in the new frontier of business agility
This white paper discusses the role of risk management in creating the organisational context, capability and connectivity that builds the muscle of business agility
The chatbot and the quant: GPT shakes finance education
With smarter large language models, quant grads risk turning into AI-assisted slackers, writes Gordon Lee
FCA may offer its market data to surveillance tech start-ups
Risk Live: Regulator concerned rapid AI adoption will favour incumbent vendors; aims to launch sandbox
Cloud control: optimising cloud for risk management gains
Cloud adoption has accelerated rapidly among capital markets participants in recent years. This Risk.net webinar explores how firms can optimise their usage of cloud, driving greater efficiency, avoiding common pitfalls and keeping costs to a minimum
The case for modularity and interoperability
This report, produced by WatersTechnology and Broadridge, investigates the extent to which firms have optimized their entire trade lifecycles, the structure, challenges and interoperability of their front-office systems, and what they most value when…
Integrating ECL onto a stress-testing platform: portfolio composition
How to grow a portfolio that is internally consistent with a stress scenario
RBC eyes AI to bolster FX and rates algos
Canadian bank plans to take deep reinforcement learning tech from equities to fixed income and currencies
Model risk management is evolving: regulation, volatility, machine learning and AI
Thomas Oliver, head of model validation at Quantifi, explores how the model risk management (MRM) landscape is changing in response to geopolitical uncertainty, increased concerns over counterparty risk, rising interest rates and other related challenges
BloombergGPT: Terminal giant enters the LLM race
New large language model aims to supercharge Terminal’s ability to provide sentiment, charting and search
ESG strategies special report
This Risk.net special report sponsored by SAS features a series of articles that reflect on the latest initiatives for consistent standardised global frameworks for measuring ESG, consider the methodologies investors are using to make measurable progress…
Integrating ECL onto a stress-testing platform: credit risk characteristics
How credit loss in the ECL process can leverage changes in the credit risk profile of a portfolio during a stress scenario
Integrating ECL onto a stress-testing platform: scenarios
Strategies for producing stress-testing ECL values that comply with IFRS 9, as well as CECL standards
Dynamic class-imbalanced financial distress prediction based on case-based reasoning integrated with time weighting and resampling
The authors put forward a dynamic class-imbalanced CBR FDP model which is shown, using data from Chinese listed companies, to outperform static and dynamic CBR FDP models without resampling or time weighting.
OK regulator? How AI became respectable for AML controls
Dutch court case pressures supervisors to accept new tech; explainability the key challenge