FINCAD Reimagines Analytics, Now Cloud-Ready With Python

Unmatched combination of power, speed, and efficiency

FINCAD, a pioneer in providing pricing, modeling, and risk analytics, announced its next-generation analytics – cloud-enabled and powered by Python. One command and a couple of lines of Python code unlocks the most powerful derivatives library in the industry, with a constantly expanding ecosystem of curated models, curves and instruments covering 100 currencies.

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“Derivatives are often associated with complexity, time-consuming processing, and reserved only for individuals in physics, mathematics, or engineering,” said Mark D’Arcy, President and CEO, FINCAD. “Our next-generation analytics addresses this business challenge head-on. Financial professionals now have on their desktop the analytical capabilities, historically reserved for large sell-side industry leading firms as well as on demand access to horizontally scalable native cloud analytics. FINCAD’s high-level, Python-enabled API, enables traders, portfolio managers and risk managers alike to easily and transparently work within the vast Python ecosystem.”

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Coupling Python’s native data handling with FINCAD’s analytics, one can compute values, sensitivities and cash flows of a derivative, such as a zero-coupon inflation swap, in just a few lines of code. The results can be conveniently returned as pandas data structures, making further analysis and aggregation simpler and straightforward. Intuitive natural syntax offers transparency eliminating black box concerns, making model validation easier. Additionally, FINCAD now provides access to horizontally scalable FINCAD cloud-hosted analytics.

“Python has become the de facto standard for data analysis, workflow scripting and rapid application development,” D’Arcy said. “Our best-in-class Python toolkit for derivatives and risk analytics puts FINCAD at the forefront and is a natural extension of our 30-year leadership in pricing and valuation of derivatives.”

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