Quantifi Delivers Analytics for Volatile fixed Income markets

After more than a decade of low rates, investors are facing more uncertainty, increased volatility, and shifting liquidity. In this rapidly changing environment, Quantifi continues to deliver high-performance, transparent, and adaptable pricing and risk analytics for fixed income and credit markets.

“Fixed income markets have entered a period of higher rates and elevated volatility compared to the past few years,” says Rohan Douglas, chief executive officer at quantifi. “That means firms need analytics that are both fast and accurate to react to changing market conditions effectively.”

The analytics platform supports a range of instruments, from government and corporate bonds to structured and derivatives products such as swaps, swaptions, and caps/floors. The firm’s cross-asset model library underpins valuations across interest rate, credit, equity, and commodity markets, allowing institutions to manage exposure and liquidity risk in a unified environment. This breadth of coverage and consistency of modeling is an increasingly notable requirement for banks, asset managers, and hedge funds operating under tighter regulatory and operational constraints.

“The challenge for our clients isn’t just about pricing accurately,” Douglas adds. “It’s about managing the entire lifecycle of risk – from valuation and margining to XVA and capital allocation – within a single coherent framework. Our architecture lets them do that without the operational friction that comes from running multiple systems.”

Quantifi’s architecture is designed for speed and scale, drawing on multicore and cloud computing to deliver results in near-real time. This performance proved valuable during the sharp market moves of 2025, when clients relied on the system to value complex portfolios.When yield curves repriced and credit spreads widened, they were able to run fast, accurate valuations alongside stress tests and scenario analysis. The integration of more than 40 price,risk,and relative-value metrics for bonds allowed for granular assessments of portfolio sensitivities,convexity,and spread behavior across different curve environments.