Market Risk Managers, Traders, Quantitative Analysts, and Risk Officers use advanced Analytics and AI to turn fragmented market and reference data into a single, trusted source for decision-making. With a cloud-enabled platform, teams gain instant access to curated data—including a full range of traditional and complex financial instruments across multiple asset classes—bypassing legacy bottlenecks and responding faster to market shifts and regulatory demands.

For data scientists and technologists, it’s a scalable hub to deploy AI models and automated reporting, boosting forecasting accuracy and risk simulations. It means greater agility, reduced operational risk, and AI-driven insights that help optimize positions, manage exposures in real time, and seize opportunities ahead of competitors.

This solution addresses a broad range of critical needs in trading and risk management.

In market risk analytics, it provides the capabilities to calculate Value at Risk (VaR), expected shortfall, and perform stress testing, while also running sophisticated volatility models such as EWMA and GARCH. It extends these capabilities to curve and volatility surface analytics, applying techniques like Principal Component Analysis (PCA) and correlation heatmaps to uncover deeper insights into market behavior.

For quantitative finance teams, it delivers the high quality data required for curve building using methods such as bootstrap and Nelson-Siegel. And it supports advanced derivative pricing models and integrates reference data with market conventions to improve analytical accuracy.

Just as important, it removes the data silos, gaps, and inaccuracies that often slow or compromise reporting, enabling the production of comprehensive, dependable analytics that support faster, more confident decision making.

Trusted, High-Quality Data: Integration and curation of fragmented market and reference data helps ensure accuracy, completeness, and consistency.

Scalable, Always-Available Access: Curated data is stored in a secure cloudbased data warehouse, delivering instant, uptodate access that supports collaboration and speeds workflows across trading, risk, and analytics.

Faster Insights: Centralized, clean data powers advanced analytics, AI-driven forecasting, and automated reporting — cutting time-to insight and enabling real-time market response.

Stronger Governance: Unified data management streamlines compliance, strengthens auditability, and lowers costs linked to fragmented systems and manual processes.