By Aarav Garg
Today
- America
- Digital Banking
- Digital Payments
Derivative Path has launched ALM Strategy Builder, a new platform designed to help banks and credit unions model, stress-test and manage interest rate hedging strategies more efficiently.
The launch reflects growing demand for more automated treasury and asset-liability management tools as financial institutions deal with volatile rate environments and increasingly complex balance-sheet risks.
“The institutions we work with are not waiting to be told that hedging matters; they already know. What they need is infrastructure that matches the seriousness of what they’re doing. Treasury teams at banks and credit unions are running hedging programs with real complexity, and they deserve tooling that reflects that. ALM Strategy Builder is how Derivative Path will deliver it,” said Pradeep Bhatia, CEO and Co-Founder, Derivative Path.
According to the company, many banks and credit unions have significantly expanded their derivatives and hedging programmes over the past decade, but much of the underlying workflow remains manual. Treasury teams often rely on spreadsheets, disconnected analytics tools and time-consuming committee reporting processes when assessing hedge performance and interest rate exposure.
Derivative Path said its new platform aims to consolidate those activities into a single environment where treasury and ALM teams can build and compare hedge portfolios, run real-time stress tests and analyse multiple rate scenarios simultaneously.
The platform includes AI-enabled functionality designed to help institutions accelerate strategy analysis and reduce operational overhead. Users can model hedge structures, analyse portfolio exposures and generate board-level reporting through a unified interface. The system also supports plain-language queries, allowing treasury teams to evaluate the impact of potential hedging decisions without relying on manual calculations.
The development highlights a broader shift within banking technology, where AI is increasingly being embedded into treasury, risk and capital markets workflows rather than limited to customer-facing applications.
As interest rate volatility, liquidity pressures and regulatory scrutiny continue to shape the banking environment, financial institutions are investing more heavily in tools that improve speed, transparency and decision-making across risk management operations.
For FinTech providers, treasury infrastructure and AI-driven risk analytics are emerging as a key growth area, particularly among mid-sized banks and credit unions looking to modernise operational processes without significantly increasing staffing or technology complexity.
