Alveo, a provider of cloud-based market data management services, has extended its Ops360 data operations solution with the integration of QuantLib for advanced analytics.
The functionality allows any appropriately permissioned business user to drag and drop input data sets into functions and set parameters to derive data and kick off the calculation of curves and risk factors. No coding is needed and the process is interactive. Users can add sources, change parameters before promoting a given calculation to production and anchoring it in an operational workflow such as financial modelling, valuation, product control, margin calculation or market risk management.
The capability comes with Alveo’s standard benefits including full transparency into the underlying sources of risk factors, management of different families of interest rate curve drawing from different baskets of bonds, and capability to quickly set up proprietary calculations.
Neil Sandle, head of product management at Alveo says the release of the interactive no code curve building capability is a response to customer demand. He adds: “The capability to quickly set up, prototype and do ‘what if’ analysis on risk factor creation, using different market data sources or input sets, against either standard libraries, such as QuantLib, or customer’s own libraries in Python or other languages, is a business enabler.”
Ops360 can be used on-prem, in a private cloud, or via Alveo’s Data-as-a-Service offering.
Subscribe to our newsletter