Category: Financial Services

Introduction Factor modeling in hedge funds is a quantitative approach that identifies and analyzes key drivers of asset returns. It lets fund managers to optimize portfolios, manage risk, and generate alpha by leveraging vast amounts of market data. This technique facilitates the development of sophisticated trading strategies, enhancing investment performance and providing a competitive edge […]

This AWS FSI Blog post outlines how Zurich Insurance in the UK, or ‘Zurich’ in the remainder of this post, is leveraging artificial intelligence and machine learning (AI/ML) with Amazon SageMaker AI to anticipate flood claims, thereby proactively protecting customers against potentially catastrophic events. Zurich Insurance Group (Zurich) is a leading insurer providing property, casualty, […]

Backtesting plays a critical role in algorithmic trading. Firms leverage XGBoost for backtesting to build predictive models that forecast market movements based on historical data. Training XGBoost models is computationally expensive though, and can quickly become a bottleneck, especially when working with large historical datasets. This blog post shows how quantitative trading firms distribute XGBoost […]

Introduction Mastercard’s AI-powered real-time fraud prevention platform, Brighterion, has been delivering advanced fraud detection and risk management solutions to enterprise customers for over 20 years. Trusted by more than 2,000 clients worldwide, including 74 of the top 100 U.S. banks, Mastercard’s Brighterion AI platform scores over 150 billion transactions annually, helping organizations prevent fraud while […]

The banks who are delivering value from generative AI (gen AI) and machine learning (ML) investments are building AI stacks that are scalable and well governed. These stacks accelerate proofs-of-concept/proofs-of-value into production reliably so that business needs are met. Introduction There is a lot going on in banks related to both gen AI and more […]

Introduction In today’s fast-paced world of financial technology, sub-milliseconds can make the difference between success and failure in financial transactions. The demands of high-frequency trading, real-time market data processing, and complex financial transactions require an infrastructure that will deliver unparalleled performance, reliability, and fairness. AWS is addressing these needs through a new category of Amazon […]

The rapid advancement of generative AI promises new strategies for innovation in the insurance industry, and insurance carriers should implement it in compliance with regulatory requirements. The National Association of Insurance Commissioners (NAIC) has adopted Principles on Artificial Intelligence and released a Model Bulletin on the use of artificial intelligence systems by insurers to provide […]

Introduction In today’s fast-paced financial markets, the sheer volume and velocity of news pose significant challenges for investors, traders, and financial institutions. The ability to quickly process, analyze, and act on relevant information can mean the difference between seizing opportunities and falling behind. This blog post introduces an innovative solution that leverages Amazon Bedrock to […]

Transaction fraud poses a growing challenge that financial institutions struggle to combat effectively. Recent estimates forecast that payment fraud will exceed $326 billion for the period between 2023 and 2028, with remote purchases of physical goods accounting for over 47 percent of fraud losses¹. Legacy CPU-based systems rely on sequential processing, leading to increased operational […]

The Digital Operational Resilience Act (DORA) is a pan-European legislative framework on operational resilience and cyber resilience in the financial sector. A key component of DORA is the requirement for regulated entities to perform digital operational resilience testing in order to help improve the resilience of their workloads. This blog post outlines how you can […]