At Nfq we research, collaborate and work with institutions and partners to add more value to our clients and extend the growth of our sectors of activity.
The risk calculation is key in the Financial Field, that’s why we understand its development as one of our most remarkable challenges as specialists.
The tool developed by nfqSolutions allows a financial institution to measure the reputational risk. An algorithm, once being trained by using machine learning techniques, catalogues the feeling of the Twitter entries related to the referred financial institution.
Nfq has evolved the original economic capital tool of one of the largest spanish retail bank, developed in Matlab, which ran once per year and spent 12 hours, to a Spark approach running every month and spending 40 minutes.
Improving the ETL process for ALM, which are acknowledged by being high demanded systems, since the processing and data storage viewpoint, transforming from a SAS architecture into a flexible Cloud one.
