SS&C Algorithmics
SS&C Algorithmics provides a range of award winning solutions to address market risk, credit risk, asset-liability management, liquidity risk, economic capital and regulatory capital. Based on sophisticated models and analytics, and utilising modern technologies, they deliver the high performance and superior user experience required to meet today’s regulatory challenges while providing business value.
All content by SS&C Algorithmics
Can ChatGPT unlock better investment portfolio selection?
This white paper explores the potential uses of generative artificial intelligence (AI) models, such as ChatGPT, for investment portfolio selection. We use ChatGPT to obtain a universe of stocks from the S&P 500 market index that are potentially attractive for investing. We compared various…
Risk applications and the cloud: boosting collaborations to strengthen risk management infrastructure
More of today's financial services organisations are choosing to move their financial risk management applications to the cloud. But, according to a recent survey by Risk.net and SS&C Algorithmics, many risk professionals believe there is room for improvement in key elements of these migration…
FRTB: a question of strategy for US banks
As pieces of the FRTB puzzle fall into place, the model methodology reshuffle raises new questions for US banks hoping to heed the lessons from their FRTB forerunners in Europe and beyond. This Risk.net paper explores the key decisions facing US banks as they look to future-proof their FRTB…
High-performance risk analytics – usability and the user experience
In this final episode of the three-part audiocast series, contributing editor Tim Bourgaize Murray talks to Neil Dodgson, vice-president, product management at SS&C Algorithmics, as he charts the development of high-performance risk analytics from the perspective of usability and the user…
Risk analytics accessibility and the opportunity of cloud
In this second episode of the three-part audiocast series, contributing editor Tim Bourgaize Murray talks to Curt Burmeister, chief technology officer at SS&C Algorithmics as we turn the focus on risk analytics accessibility and the opportunity afforded by the cloud.
High-performance risk analytics - Turning performance into business gains
In this first episode of the three-part audiocast series, contributing editor Tim Bourgaize Murray talks to Neil Dodgson, vice-president, product management at SS&C Algorithmics, as he explains how high-performance risk analytics can be deployed in pursuit of business gains and reveals some of the…
Powering the risk engine: Supercharging risk analytics for a new era of volatility
This white paper charts the emergence, key attributes and use cases for a new breed of agile high-performance risk analytics – with a particular focus on derivatives valuation adjustments – and explains why the incremental technological gains of the past are no longer enough to power the risk…