Power, scale, and speed for complex financial analysis
To keep up with massive computing demands, financial institutions like HSBC are moving their data to Google Cloud Platform (GCP). GCP runs on the same infrastructure and private fiber network that power Google, giving you the scale you need to run training algorithms, portfolio analysis, and risk modeling at the speed of your business. Spin up workloads faster than you can on other clouds, including clusters with a few hundred (or thousand) cores in minutes. Scale up when you need, and then only pay for the compute seconds you use.
Our solutions are easily adaptable for multi-cloud or hybrid environments, and we have services to help you migrate quickly and securely. Start by contacting us or teaming up with a Google Cloud Partner. Or sign up for a free trial with a $300 credit to get your projects up and running quickly.
Unify fragmented datasets to unlock powerful insights
Cut across legacy silos and turn decades of public and private data into market and consumer insights with our proven, integrated big data solutions. BigQuery, our fully managed serverless data warehouse, auto scales for performance and runs blazing-fast queries on petabytes of data, getting you insights faster. And because it doesn't run on VMs and you don't need clusters to scale, your data stays out of additional silos.
Once your data is analyzed, create custom user-friendly reports with Google Data Studio. GCP also seamlessly integrates with third-party visualization tools for real-time exploration of your most complicated data problems. Drive more holistic financial, regulatory, and customer service reporting with our big data tools.
Streamline operations and enhance financial modeling
Investing in a solid AI strategy now can have a significant impact on your business's future. With Google Cloud's machine learning services, you can more effectively manage risk, streamline operations, create more personalized customer experiences, improve transaction monitoring, develop better quant models, generate alpha, and more.
Machine learning isn't as simple as flipping a switch, but with Google Cloud, you don't need a huge team to get the most out of your data. You can start by taking advantage of proven, pre-trained models like Cloud Vision API, Cloud Natural Language API, and Cloud Translation API. Or quickly create your own models with Cloud Machine Learning Engine and TensorFlow, one of the most popular machine learning libraries among researchers across the globe. With TensorFlow, you can use our proprietary customer ML accelerator, Cloud TPU, to run and scale your models. On our production AI workloads that utilize neural network interference, the TPU is 15–30X faster than contemporary GPUs or CPUs.
If you have high-impact machine learning projects, you can partner directly with Google Cloud ML experts at the Advanced Solutions Lab opportunities.
Secure and immutable storage for regulated data
The availability, performance, and security of your storage infrastructure are keys to building reliable applications that help keep your users happy, your data safe, and your organization compliant. Financial institutions face many compliance, legal, and regulatory requirements for retaining data for specific lengths of time, including SEC Rule 17a-4 (f), CFTC Rule 1.31 (b)–(c), FINRA Rule 4511(c), and CFR 1.31 section 3. Google Cloud can help you with these requirements. Cohasset Associates has determined that Cloud Storage, when properly configured and used with Cloud Storage Bucket Lock, may help you address the retention requirements of the regulations listed above, and it is free for all Cloud Storage users.
In addition, Google Cloud provides administrator oversight over access permissions and sophisticated encryption key management capabilities to make protecting client data simpler. These features help you prevent any inadvertent exposure, so you can focus on insight generating and machine learning solutions instead.
Delight customers while optimizing risk and compliance
Leverage machine learning and analytics to deepen customer relationships and optimize risk processes and compliance reporting. Lower efficiency ratios through modern infrastructure.
Convert your ideas into profitable strategies
Access high performance computing resources for quantitative research and risk calculation workloads in real time or on demand — without building a server farm.
Insurance at the speed of your customers
Use our data analytics platform to accelerate your next-generation underwriting, anticipate customer needs, and improve portfolio management.
Security and compliance
We do our part to help you protect your most sensitive data, including customer PII, records, transaction data, and payment card information by offering identity management, network security, and threat detection and response capabilities. To earn your trust, we certify our products against the most rigorous global security and privacy standards, such as ISO 27001, ISO 27017, and ISO 27018; financial control standards, including AICPA SOC and Japan FISC, among others; and industry-specific standards like PCI DSS.
HSBC has been working with Google on some of the most difficult-to-solve problems facing the industry.
In only three years, Ravelin has stopped over £100 million of fraudulent transactions using Google Cloud machine learning.
Charles Schwab chose Chromebooks for a fast, easy, secure way to allow clients to open new accounts in its branch locations.
Explore resources like videos and tutorials specific to the financial services industry.
Monte Carlo methods using Cloud Dataproc and Apache Spark
Using machine learning with financial time series data
Analyzing financial time series using BigQuery
Analyzing 25 billion stock market events in an hour with NoOps on GCP
Highlights from Next '18
Catch up on the latest updates from Next '18, and see how leading brands in financial services are using Google Cloud to deliver more accurate insights at scale.
UBS uses Cloud Dataflow and grid computing to price options
Two Sigma performs quantitative research at scale with Google's Preemptible VMs
Citi builds conversational chatbots through machine learning
Thomson Reuters forecasts stock returns more accurately with TensorFlow and Cloud Machine Learning Engine
Developing distributed ledger technology (DLT) solutions on GCP
Building an early warning system for risk management on GCP using AI and ML
Work with Google Cloud
Tell us about your business, and our experts will help you build the right solution for your needs.
Work with a Google Cloud Partner
Choose one of our global partners for help with development, deployment, consulting, support, training, and more.
Interested in becoming a Google Cloud Partner? Apply here.