Latest opinions that Steve Wilcockson has shared on Finextra

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Steve Wilcockson

Technical Product Marketing

Quantexa

Member since

28 Feb 2014

Location

Diss / London

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Steve's opinions

7 Chief Risk Officer Priorities for 2017

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

Learning about the Machines

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

Will you still love me, when I’m 64? The relevance of '50s financial engineering today

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

Can we fix Risk Management? Yes, we can.

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

Machine Learning: A Financial Services View

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

Bridging over the Financial Services skills gap

”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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