Technology
Big book of models: the ultimate guide to analytical models for smarter business decisions
The big book of models is a practical guide for professionals in risk management and quantitative analysis. It covers a range of analytical techniques, including Monte Carlo simulation and neural networks, providing insights into their applications across various industries. The book helps practitioners choose the right methodologies for effective decision-making.
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
AI ‘lab’ or no, banks triangulate towards a common approach
Survey shows split between firms with and without centralised R&D. In practice, many pursue hybrid path
Everything, everywhere: 15 AI use cases in play, all at once
Research is top AI use case, best execution bottom; no use is universal, and none shunned, says survey
Technology risk management: detection to protection
From simple risk detection to comprehensive protection by expanding your vision, capabilities and influence
The path to operational resilience begins with reliability and risk management
The challenges Apac financial services firms face enhancing operational resilience and leveraging data and hybrid cloud
Revolutionising compliance: next-gen technology for new-age regulation
This white paper explores prevailing compliance challenges and the implications of regulatory changes on data and reporting technology, and outlines the opportunities these changes present for financial institutions.
Elevating risk management to a strategic partner in investment decision-making
Based on insights from a Risk.net webinar sponsored by S&P Global Market Intelligence, this article explores how risk management is evolving from a compliance role to a strategic partner.
FX options: rising activity puts post-trade in focus
A surge in electronic FX options trading is among the factors fuelling demand for efficiencies across the entire trade lifecycle
An asset manager’s guide to choosing a managed services provider: seven key criteria in selecting a provider
Managing IT infrastructure can take valuable time away from your core business. For asset managers, keeping up with technology, security and compliance is a constant challenge. That is why many are turning to managed services providers
Chartis RiskTech AI 50 2024
A Chartis report exploring the landscape of artificial intelligence and its adoption in the financial services
AI in banking and risk management
The financial sector is abuzz with the potential of generative artificial intelligence (GenAI) to revolutionise risk management.
Three key drivers of middle-office outsourcing
This white paper examines the growing trend of middle-office outsourcing among asset and fund managers, driven by operational efficiency and cost control.
Adopt hybrid cloud to resolve the false dilemma between resilience and modernisation in banking
This study explores the challenges banks in Asia-Pacific face in enhancing operational resilience, and how they plan to leverage data and hybrid cloud in building operational resilience
Market and reference data management: challenges abound
How firms can improve managing and optimising market and reference data spend and usage.
CP+ unveiled: accurate, real-time pricing for global credit and rates markets
Bond markets lack transparency, making it difficult for investors to value bonds and compare prices. This can lead to overpaying or missed opportunities.
Banking risk management system trends
Technology has played a central role in enhancing the efficiency and effectiveness of risk management practices.
Real estate loan origination and monitoring with a macroeconomic-coherent Monte Carlo approach
The paper aims to show how Monte Carlo simulations based on economic scenarios can improve a sector such as real estate, which can be profitable for banks and other financial institutions, but also very risky.
Driving strategic transformation of investment operations
Managing operations as a seamless, front-to-back process is difficult, if not impossible, when a firm has disparate platforms for each of the functions that make up the investment process - often with different technologies that do not easily interoperate
Connecting the office: breaking down technology silos to optimise investment operations
Many asset and wealth management firms have grown their operational platforms organically, acquiring specialised systems over time to suit specific needs, resulting in a proliferation of disparate, fragmented applications.