Data That Optimizes Trading Decisions
Build a modern data architecture for quantitative research with near-zero-latency analytics.
Challenges in Capital Markets
Firms face increasing pressure to process massive datasets in real-time while managing risk and compliance.
Data Latency
Legacy systems struggle to ingest and process tick-level data at the speed required for algorithmic trading.
Risk Management
Calculating VAR and credit exposure in real-time across complex portfolios is computationally intensive.
Data Silos
Market data, alternative data, and internal trade data are often trapped in disparate systems.
Solutions for Investment Firms
Financial Data Cloud
Leverage **Snowflake** to break down silos. Securely share data internally and with partners without copying files.
- ✓ Unlimited concurrency for quant research
- ✓ Native support for semi-structured data
- ✓ Marketplace for third-party data
Risk Analytics
Unified analytics platform combining Snowflake with **Moody's Analytics** models for comprehensive risk oversight.
- ✓ Real-time Portfolio Risk
- ✓ Stress Testing & Scenario Analysis
- ✓ Regulatory Reporting automation
Optimize Your Trading Decisions
Learn how leading capital markets firms are using the Data Cloud to gain a competitive edge.
Contact Capital Markets Team