The topics of risk and risk management continue to be a critical subject for banks, lenders, insurers, and many others in the financial services industry. Companies are increasingly using data science, machine learning, and advanced analytics to identify and quantify risk in order to mitigate adverse effects on the business. Once the risks are assessed, strategies and activities can be put in place to mitigate and control the potential financial, productivity, or reputational damage that these risks pose.
The Risk Management Quick Start Solution from MapR is a data science-led product and services offering that addresses two major categories of risk for financial services companies:
Key business benefits include:
Trial subscription of MapR Converged Data Platform Enterprise Premier for the duration of the quick-start.
3-10 weeks of engagement with MapR Professional Services Engineers and Data Scientists (Duration varies based upon the particular quick start.)
2 Academy Pro Subscriptions including Certification Exams.
The Risk Management Quick Start Solution initially will follow one of two paths: one focuses on fraud detection using predictive analytics, and the other focuses on identifying money laundering using anomaly detection. These two paths are similar in that they use advanced data science techniques, but they use different data models and algorithms.
Using this approach, MapR data scientists use the MapR Converged Data Platform and distributed machine learning algorithms to provide an enterprise-grade analytics capability that can easily be refined and modified to respond to changing market conditions, new fraud models, and new data sources for defining and managing risk.
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