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.
Overview
The world’s biggest banks, asset managers, insurers and payment providers are simplifying data access, enabling secure data collaboration, powering advanced ML and analytics and deploying agentic AI applications with Snowflake — today.
Power a new generation of financial services use cases with Snowflake Cortex AI for Financial Services, a suite of reliable, context-aware AI capabilities custom-built for the industry, and enhanced by an ecosystem of AI-ready partners.
Work together in the AI Data Cloud with top data and solutions providers, as well as critical service providers, to streamline data collaboration, power business-critical use cases and even uncover new commercial strategies.
Use AI and LLMs within Snowflake's security perimeter with built-in policies, access controls and end-to-end observability.
Use Cases
Accelerate 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
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
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
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
Acquire new clients, predict product or policy suitability, personalize investment planning and determine next best action with customer 360 analytics and ML.
Compliance
Snowflake supports critical security and compliance standards for the financial services industry, globally.
CUSTOMERS
“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
Leading financial service institutions choose Snowflake to mobilize their data and AI
Financial Services Sub-Verticals
Ingest structured & unstructured data
Power business-critical analytics
Deploy AI and ML
Build and discover data, models and apps
Business continuity & resiliency
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.
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.
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.
Query both managed and unmanaged Iceberg tables with Snowflake and benefit from Snowflake's performance, security and governance features to open table formats.
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.
From TCA to regulatory reporting, analyze your time series data over specific time ranges to the nanosecond with SQL-native functions.
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.
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.
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.
Make data, models, apps, AI products and other organizational listings discoverable and accessible across the enterprise with Internal Marketplace.
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.
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.
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.
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.
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.
Accelerate data access, drive secure collaboration and deploy AI across the financial services ecosystem.
Resources
Get Started
SNOWFLAKE FOR FINANCIAL SERVICES
Commonly asked questions and their answers to support your data and AI journey with Snowflake.
With cloud solutions, your team can easily build an enterprise data and AI strategy that connects your silos, support data and compute across the cloud, streamline access of multi-modal data and offer fully managed AI services and tools.
You can also power business-critical use cases with enterprise data access by unlocking storage interoperability and tapping into an ecosystem of best-of-breed data, AI and applications.
Entrust your most sensitive data to Snowflake with confidence thanks to its fully unified security and governance controls, as well as cross-cloud resiliency for business continuity and disaster recovery.
Data and AI power a wide range of critical use cases across financial services. For investment and markets, firms use the AI Data Cloud for quantitative research, investment analytics, and institutional client services. In risk and compliance, AI is key for dynamic risk management, regulatory reporting, and combating financial crimes like fraud, KYC, and AML. Insurance providers use AI for underwriting and claims management to improve efficiency. Finally, a comprehensive Customer 360 view enables personalized services and stronger client relationships on a unified data foundation.
AI helps accelerate the ingestion, transformation, and optimization of both structured and unstructured data — allowing organizations to broaden their data aperture and take advantage of the wealth of multimodal data across the enterprise.
AI drives efficiencies and trust across existing use cases by automating traditionally manual, and oftentimes error prone tasks and workflows.
AI democratizes access to data, insights and analytics by enabling users to use natural language to ask questions and talk to their data.
Snowflake supports customers’ compliance with several key security and compliance standards relevant to the financial services industry, including:
EU DORA (Digital Operational Resilience Act): DORA aims to strengthen the digital operational resilience of the European financial sector.
ISO 27001: This is a globally recognized standard for information security management systems (ISMS).
ISO 42001: ISO 42001 is the first international management system standard for artificial intelligence.
SOC 1 & SOC 2: These are audit reports that provide assurance to customers about the effectiveness of a service organization's controls related to financial reporting (SOC 1) and security, availability, and confidentiality (SOC 2).
Payment Card Industry Data Security Standard (PCI DSS): This standard regulates companies that process, store or transmit credit card information, and requires companies to maintain a secure environment.
C5 (Cloud Computing Compliance Controls Catalog): This German standard for cloud computing providers addresses security and data protection for cloud services.
Cloud solutions support a wide range of verticals within the financial services industry, including buy-side firms such as asset management, sovereign wealth funds, wealth management, private equity and hedge funds.
On the sell-side, they are used by retail and commercial banks, investment banks and brokerage firms. Cloud technology is also widely adopted across the insurance sector, serving property and casualty, life and annuities, and re-insurance companies.
Additionally, payments companies, exchanges, data providers, and fintechs all leverage cloud solutions to drive innovation and efficiency.
Snowflake is compatible with many best-of-breed industry solutions, many of which are accessible via native apps and connectors in Snowflake Marketplace.
