More nuanced than our understanding of your business, is our deep understanding of the data that underpins it. The approaches we have developed for obtaining high quality data for financial organisations is more art than science, and we have a plethora of proprietary analytical techniques to analyse it.
At a very high level, the phases are
While neither of these transformations should be underestimated, once this data becomes available, then deriving value from it will be transformational for your business This can be done in ways that can open up new revenue streams, and/or vastly improve existing practices, and this is where our experience in building economically viable solutions is proven.
We have applications in customer and market behaviour, data quality management, credit processes, pricing, client on-boarding, portfolio modelling….. and our services range from early-stage feasibility studies through to on-going machine training managed services. Always, our goal is to transform data from being an organisational constraint into a commercially differentiating asset.
You may wish to read some of the following Data Science articles by Riskcare:
adminJanuary25, 2018
Abstract. We propose a Traffic Light approach to backtesting Expected Shortfall which is completely consistent with, and analogous to, the Traffic Light…
Read moreadminJuly28, 2017
Clients with a continuous, large stream of data coming in that needs to be processed really quickly and must always be up – regardless of hardware reliability…
Read moreadminApril11, 2016
The open source big data processing framework Apache Spark has become the one-size-fits-all solution for big data and big calc problems. Chris Sawyer offers an…
Read moreadminMarch14, 2016
The convergence of new businesses models, new technologies and new regulations are giving many capital markets firms the impetus they need to resolve structural…
Read moreIf there is any way in which your technology platforms can be improved, then we will be delighted to discuss your options with you.....
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