FINCAD, a provider of enterprise solutions for derivative and fixed income portfolios, has launched a new toolkit for valuation and risk analytics.
The company said a ‘comprehensive Python toolkit’ has been added to F3, enabling traders, portfolio managers and risk managers to generate custom analytics, applications and reports.
Python has become the multi-purpose tool of choice for quantitative analysts and other financial technologists. However, deploying them to production can be challenging, with teams struggling with infrastructure issues such as data management, calculation scaling, version control, admin and security.
Its F3 Python toolkit aims to help clients address this challenge by combining Python’s capabilities, FINCAD’s analytics library and the enterprise-class technology of F3 Platform, which automatically handles the infrastructure issues.
It is used for strategy back-testing, structured product scripting, portfolio optimization, tailored hedging strategies, LDI portfolio construction, cash flow matching, custom pre-trade analytics, risk reports and real-time dashboards.
“Python enables clients to be incredibly productive and it has a rich ecosystem that is ideally suited to portfolio and risk analysis,” said James Church, VP of R&D at FINCAD. “The F3 Python toolkit goes far beyond a simple Python API, and brings together best-of-breed pricing and risk analytics, enterprise scalability, data management and UI tools so that teams can collaborate on ideas, then take them quickly and easily into production.”
The FINCAD F3 Python toolkit includes an F3 Python SDK, F3 Python MicroServices and F3 Python Trade Scripting which enable users to deliver custom analytics, create custom applications and reports, and model and script complex payoffs.
“With enterprise portfolio and risk systems, one size doesn’t fit all,” added Bob Park, FINCAD President and CEO. “Every investment firm is unique, and their software should be flexible and able to adapt to their specific needs, workflows and requirements. With FINCAD F3, firms don’t have to settle for software that is ‘good enough’, nor do they have to make compromises. They get the unparalleled combination of powerful out-of-the-box functionality and the flexibility for unlimited customization using versatile tools such as Python.”
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