27 Results
Steve Wilcockson Product Marketing at Quantexa
Last January I posted 7 Chief Risk Officer Priorities for 2017, based in part on the preceding December’s RiskMinds Conference in Amsterdam, a conference highlighting the worries and interests of Chief Risk Officers and their risk managers. A lot can happen in a year, so I have repeated the exercise. Some topics have carried over such as model go...
17 January 2018 /ai /regulation Financial Risk Management
In December, I attended the Amsterdam RiskMinds Conference, which highlighted current priorities of Chief Risk Officers [CROs] and risk professionals. Having reflected over Christmas sherry and Mariah Carey New Year PR disasters, I consider 7 key CRO and risk priorities. Do you agree ? Post your comments below. i) Be “Chief Worrier” The modern Chi...
12 January 2017 /regulation /wholesale
Following a survey we did back in 2014, I posted on Finextra about how machine learning technologies are progressing from academia, robotics and medical engineering into financial services. At that time, there seemed to be some hesitancy with only 12% of 80 quant-savvy finance professionals saying they used machine learning in their workflows. H...
25 July 2016 /regulation
Financial engineering is and remains a divisive term. In my Finextra blog last month, I argued that leading institutions were weighed down by legacy. Financial engineering is perhaps an example of such a technology that has also been tarnished by the Global Financial Crisis (GFC) of 2009. So, seven years later, financial engineering feels vintage w...
20 May 2016 /retail
Since 2009, banks have been scrutinized microscopically about their resilience to a wide range of risks. This is hardly surprising, given the post-Global Financial Crisis (GFC) realization of interconnectedness between systemic risk and the financial services industry, particularly so-called globally Systemically Important Financial Institutions (...
27 April 2016 /regulation /wholesale
Swathes of regulatory change have had a lasting and profound effect on the financial services sector. However, technological change and massive IT disruption is becoming increasingly important, specifically intersecting new “big data” technologies with modelling and analytics. Machine learning is one increasingly popular modelling approach used t...
14 January 2015 /regulation
”Big data” in the Financial Services industry has amplified the need for professionals capable of deriving value from it. In 2012, our research explored the impact of poor modelling; specifically how imperfect implementation of models can negatively affect institutions. The report found that in financial institutions, the real value of data is bei...
11 March 2014
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