Big Data Compliance Operations Risk Management 
Banking Exchange
FEBRUARY 26, 2020
Online payment fraud could cost companies more than $200 billion over four years, finds Juniper Research Risk Management Technology AML & Fraud Cyberfraud/ID Theft Compliance/Regulatory Operational Risk Big Data Security Online Cards BSA/AML Feature3 Feature Financial Research Payments.
CFPB Monitor
SEPTEMBER 8, 2022
Mr. Hsu also raised concerns about unknown risks or “nasty surprises” arising out of bank-fintech arrangements. This approach is expected to enable a clearer focus by the OCC on risks and risk management expectations. He advised banks to closely monitor risk and compliance in these partnerships.
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Gonzobanker
MARCH 6, 2020
Addressing common loan and deposit operations process inefficiencies can help financial institutions deliver optimized value to customers and stockholders. In recent years, many financial institutions have been focused on improving their digital delivery capabilities, often at the expense of their operational groups.
PYMNTS
MAY 17, 2018
According to a press release Wednesday (May 16), the European Central Bank (ECB), based in Germany, has chosen OpenLink to provide treasury and risk management technology to manage its euro-dominated investment portfolio, foreign reserves and other asset purchase programs.
BankUnderground
JUNE 25, 2020
But potential fragmentation of the global data supply chain now poses a novel risk to financial services. In this blog post, we first discuss the importance of data flows for financial services, and then potential risks from blockages to these flows. Big Data and financial services. 15 of this report ).
Insights on Business
DECEMBER 15, 2015
Because traditional banks are often burdened with inflexible and costly legacy systems, they often struggle to redefine new operating and business models. Analytics : applying predictive analytics based on big data and cognitive computing, in particular, will enable banks to deepen and scale workforce capabilities.
Insights on Business
DECEMBER 15, 2015
Because traditional banks are often burdened with inflexible and costly legacy systems, they often struggle to redefine new operating and business models. Analytics : applying predictive analytics based on big data and cognitive computing, in particular, will enable banks to deepen and scale workforce capabilities.
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