Webinar
The Future of Payments
Join Snowflake’s CIO, Mike Blandina, and payment and banking leaders to learn about AI priorities and the strategic use cases that can have the largest industry impact for the future.
Resources for Wells Fargo
Wells Fargo
Discover the next phase of your data strategy
Eliminate the silos and complexity that hold back data-driven innovation and growth
Industry Solutions
AI DATA CLOUD FOR Financial Services
Simplify your enterprise data and AI architecture with interoperability, open standards and security in mind. Tap into an ecosystem of best-of-breed financial services data, solutions and AI models to power workflows across the buy-side, sell side, insurance and payments verticals.
FROM DATA TOBUSINESS OUTCOMES
Accelerate Quantitative Research
Perform quantitative research
Conduct research faster and generate alpha by simplifying data access, powering AI and ML workloads and seamlessly integrating with industry-leading solutions.
Unify Risk & Compliance on One Enterprise Platform
Build an enterprise risk and compliance platform
Power your risk management, regulatory reporting and compliance workflows on a single data platform to meet evolving requirements across banking, capital markets, asset management and insurance.
Reduce reputational risk
Enhance fraud detection, know your customer (KYC) and anti-money laundering (AML)
Detect possible fraud and address KYC/AML compliance requirements by bringing together data from across your businesses, performing ML model inference with data on Snowflake and accelerating with AI.
Optimize complex processes
Streamline insurance claims management
Modernize claims management and the overall customer experience with machine learning models applied throughout the claims lifecycle, including at first notice of loss or first report of injury.
Maximize customer lifetime value
Power next best action and personalization
Acquire new clients, predict product or policy suitability, personalize investment planning and determine next best action with customer 360 analytics and ML.
Leading Companies Build with Snowflake
“With Snowflake, we put data in our clients’ hands much faster — and with half the effort and resources.”
Jeff Shortis
Alpha Data Platform Product Owner, State Street
- 25x more productivity of data operations teams
- 87% reduction of false data error alerts
Intercontinental Exchange and the NYSE Optimize Costs With Snowpark
With Snowflake, Intercontinental Exchange has lowered costs and increased operational efficiency while supporting regulatory compliance and reporting for global exchanges like the New York Stock Exchange.
- 80% better ad hoc query performance
- >50% cost savings for NYSE’s regulatory reporting workload
Chicago Trading Company Replaces Managed Spark for 54% Cost Savings
By moving to Snowflake, CTC’s research platform now brings development to the data for quick, cost-effective and reliable data processing — so traders have the insights they need, when they need them.
- 54% cost savings by moving from managed Spark to Snowflake
- $800K saved annually by eliminating data movement
S&P Global Market Intelligence Saves Time and Money While Scaling Machine Learning
With Snowflake, S&P Global has increased efficiency and scaled ML pipelines, ultimately equipping customers with richer credit insights to inform their financial decisions.
- 84% savings on estimated annual costs, due to results caching
- <1 second to answer 90% of user queries via self-service dashboards
Sallie Mae Saves $1.2M a Year While Helping Students Soar
By optimizing its data infrastructure and converging onto Snowflake, Sallie Mae cut processing times by over 80%, drove real-time customer engagement, and transformed regulatory compliance into a strategic advantage.
- $1.2M annual savings
- 90% faster processing time for regulatory calculations
Financial Services Sub-Verticals
Use Case Spotlight
Ingest structured & unstructured data
Power business-critical analytics
Deploy AI and ML
Build and discover data, models and apps
Business continuity & resiliency
Streamline multimodal data ingestion
Snowflake Openflow — built on Apache NiFi — brings together batch and streaming, structured and unstructured data, whether it lives in third-party apps, PDFs or videos.
Code and automate pipelines with confidence
Meet data SLAs and automate repetitive tasks by focusing on outcomes instead of infrastructure, plus free your teams of operational overhead through native data engineering capabilities and integration with open standards.
Process and extract information from unstructured text
Document AI can prepare pipelines for continuous processing of new documents of a specific type, such as application forms or finance statements, as well as extract information from entities or tables based on the list of specified columns.
Run analytics on data outside of Snowflake
Query both managed and unmanaged Iceberg tables with Snowflake and benefit from Snowflake's performance, security and governance features to open table formats.
Transform multimodal data
With AISQL, turn everyday data analysts into AI engineers without complex coding. Transform any data type — from insurance claims to call center transcripts — into insights, and unlock capabilities like classification, summarization, sentiment analysis and more.
Optimize tick data
From TCA to regulatory reporting, analyze your time series data over specific time ranges to the nanosecond with SQL-native functions.
Build agents and conversational apps
Leverage Snowflake MCP Server and Snowflake Intelligence to ask complex, domain-specific questions in natural language by unifying and integrating all of the organization’s information, from structured tables to unstructured documents and from third-party tools and applications to internal enterprise systems.
Bring ML models to your data
Develop, deploy and monitor ML features and models at scale with a fully integrated platform that brings together tools, workflows and compute infrastructure to the data.
Tap into state-of-the-art LLMs
Meet your business needs by accessing industry-leading foundational models from OpenAI, Anthropic, Reka, Mistral and more at scale directly in SQL or via APIs.
Discover and access internal data
Make data, models, apps, AI products and other organizational listings discoverable and accessible across the enterprise with Internal Marketplace.
Integrate third-party data
Access thousands of live, ready-to-use data to power business workflows across the front, mid and back offices, including from FactSet, ICE, LSEG and more.
Implement data governance & security
Protect and audit your data, apps and models with data governance capabilities like tags and data lineage, and centrally apply granular access policies across all databases, schemas and tables.
Build a multi-cloud enterprise data strategy
Ensure business continuity and resiliency by building a multi-cloud, cross-region data strategy on Snowflake, which is available on major providers across numerous global regions.
Ensure account replication and manage failovers
Meet DORA obligations by replicating your critical account objects to another Snowflake account in your organization in a different region in case of unplanned failovers.
Enable write-once-read-many semantics
Comply with SEC 17a-4(f), CFTC 1.31(d) and FINRA regulations with Snowflake Snapshots by creating immutable copies of data at specific intervals, ensuring consistency and reliability for time-based analysis.
Resources
Explore more in Financial Services
Compliance
Enterprise-Level Security and Compliance
Snowflake supports critical security and compliance standards for the financial services industry, globally.
Contact Snowflake
Ready to get started?
Aaron IsbellAccount Executive, Snowflake
Tanya SainSolution Engineer, Snowflake
