Artificial Intelligence & Machine Learning
75 white papers and resources
Artificial Intelligence & Machine Learning
Integrating ECL into stress testing platform: credit risk characteristics
This Financial Risk Group white paper, authored by Jonathan Leonardelli, director of business analytics, examines how credit loss in the expected credit loss process can leverage changes in the credit risk profile of a portfolio during a stress scenario.
Integrating ECL Onto A Stress Testing Platform: Scenarios
This white paper examines technological and methodological strategies to help to produce stress testing expected credit loss values that comply with IFRS 9 as well as CECL Standards for your financial institution.
Reading Between the Fines: A Deep Dive into Financial Institution Penalties in 2022
Fenergo’s latest research report on financial institution penalties in 2022 is available now. Key analysis shows that fine values in the Asia-Pacific region were just 0.77% of what they were in 2021. Read the report to find out about the biggest actions from the past year, key trends driving…
Digital banks: harnessing technology to deliver growth
In this white paper report, chief risk officers and chief technology officers at digital banks discuss their growth goals and key priorities over the next few years. They detail their use of credit risk analytics and talk about the choices they make in building a technology stack that enables them…
Complying with climate risk framework standards for streamlined processes
Conscious that climate change affects all sectors of the economy, financial institutions are realising the significant impact this will have on their customers and, ultimately, their own profit margins. In addition, there is a greater appreciation of how their own activities can influence the…
Credit risk, data and AI: managing spiralling demands and delivering value
Based on a comprehensive survey of, and conversations with, credit risk professionals globally, this report delves into their challenges they face in trying to source and use forward-looking data.
Podcast: Leveraging Real-time Data Feeds For Faster Business Decisions
The markets have been on a very volatile ride in 2022, which makes low-latency data more crucial to the business. This broadcast brought on a veteran data leader from the London Stock Exchange Group (LSEG), who shared what the key markets challenges are, and how firms can leverage LSEG’s vast…
Case study: Rabobank achieving strategic transformation with Murex MX.3
Crises throughout the last decades have led financial institutions to seek, devise and implement solutions to lower the cost of their operations, focus on their core businesses and speed up their go-to-market innovation. This case study identifies how Rabobank’s was able to achieve a strategic…
The landscape ahead for FX options desks: a Murex expert series
FX options desks face an increasingly complex and demanding context. The challenges they confront necessitate automation, digitization, proper risk and lifecycle management and sophisticated, leading analytics. Learn more in a series of expert articles outlining what’s ahead for FX options desks…
Investment Management: Harnessing Data Insights to Drive Innovation
To prepare themselves for the future, firms must readily embrace AI, ML, and natural language processing (NLP) based solutions to achieve operational and strategic targets. By doing so, they will discover how powerful data insights are when coupled with the right set of approaches and tools. In…