AWS for Industries

Tag: Financial Services

Advanced Insights on the Consolidated Audit Trail

The Consolidated Audit Trail In response to the May 2010 Flash Crash, the Securities and Exchange Commission (SEC) authorized the creation of a comprehensive financial database called the Consolidated Audit Trail (CAT). CAT is a central repository that receives and retains all US equity and options activity from broker-dealers and exchanges. Back in May, we […]

Read More

FSI Service Spotlight: Featuring Amazon Comprehend

Editor’s note: This is the second in a monthly series for Financial Services Industry Service Spotlight. Read Part 1 discussing Amazon SageMaker Notebook Instances. — In this edition of Financial Services Industry (FSI) Service Spotlight monthly blog series, we highlight five key considerations of a particular service that FSI customers should focus on to help […]

Read More

Algorithmic Trading on AWS with Amazon SageMaker and AWS Data Exchange

It is well known that the majority of stock transactions are automated (as described here and here), for example using applications or “robots” implementing a trading strategy. More recently, an emerging trend in the financial services industry is the movement of trading solutions, such as algorithmic trading solutions, to the cloud (as described here and […]

Read More

Multichannel customer engagement for financial services on AWS

Financial services organizations are facing challenges around loyalty, persistent churn, fragmented attention, and driving organic growth. There are external factors contributing to these challenges, such as the widespread adoption of mobile services, new digital native market entrants, adapting to generational shifts, and critical industry requirements around compliance and regulations that makes cumbersome to provide innovation […]

Read More

How Financial Institutions can Select the Appropriate Controls to Protect Sensitive Data

In a previous blog post, we discussed how financial institutions can approve AWS services for highly confidential data. One of the questions we hear from customers is: What are the recommended patterns for data protection of highly confidential data? Many financial services institutions have existing data classification and handling policies that dictate the required encryption […]

Read More

Introducing a New Blog Series, Service Spotlight for Financial Services: Featuring Amazon SageMaker Notebook Instances

As we wrap up the 3-week long re:Invent virtual conference, we are pleased to launch the first blog post of the Service Spotlight for Financial Services. This series aims to provide financial services customers a deep dive into the five key considerations of a particular service to help streamline service approval based on our experience […]

Read More

re:Invent Resumes: Bonus-Content Financial Services Presentations – All Live Sessions!

The new year brings fresh insights and thought leadership as AWS re:Invent bonus content launches, January 12–14, 2021. Join us as Financial Services executives and innovators bring to life best practices—and share what’s new and next in the cloud. For your convenience, all three Financial Services industry presentations are on the same day: January 12. […]

Read More

How Amazon Machine Learning can Help Lenders Automate the New Round of Payment Protection Program Loans

Last week, the Small Business Administration (SBA) released new guidance for Paycheck Protection Program (PPP) and placed emphasis on helping smaller lenders and borrowers. According to the SBA, “small businesses, as defined by the US Census, employ 59.9 million people across the country.” A big push for the new guidance is to help “ensure increased access […]

Read More

How Cloud-based Data Mesh Technology Can Enable Financial Regulatory Data Collection

Background Central banks and financial regulators depend on access to high-quality, up-to-date data from regulated financial institutions such as banks and insurance companies. These regulated entities have widely varying and changing operational environments, each operating independently, but must coordinate with the regulator to exchange relevant data. Today, the costs incurred by banks in supporting regulators’ […]

Read More

Enhancing trading strategies through cloud services and machine learning

Please be aware this blog post dives deep into some areas of trading fundamentals. An intermediate level of trading knowledge is beneficial when reading this blog post. — Traders at financial institutions need to sift through a rapidly growing blizzard of news across real-time and historical data from thousands of sources. Combined with social media […]

Read More