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Bernard Kuc
Barclays Capital
London, United Kingdom
 

Bernard Kuc is a vice-president in the London office of Barclays Capital working in the equity derivatives team of the quantitative analytics group, where he has been for the past four years. His day-to-day responsibilities involve Monte Carlo pricing of exotic equity derivatives, and maintaining and improving the group’s set of risk analytics. The primary attraction of his current job is the ability to work with some of the brightest minds in the world.

Prior employers include Application Networks (2004-2005), a provider of financial valuation and risk solutions, and Flextronics (2000-2004), where he worked on numerous telecom projects with a strong focus on fixed-line signalling infrastructure equipment. As part of his job, he was able to work with many partner companies and had the opportunity to take part in the first international interoperability tests of two of the Sigtran protocols. Finally, at Eagle Technology (1998-1999), he was responsible for Windows NT device driver development for data acquisition cards.

Bernard graduated with an MSc in Control Engineering (1999) and a BSc in Electrical Engineering (1997), both from the University of Cape Town in South Africa. His academic highlights include coming in at the top of his class in all of his MSc courses and spending two terms of office on both the Students’ Representative Council and the Students’ Engineering Council.

Bernard is a CFA charterholder and enjoys working with money. Having always had an interest in finance, keenly following oil prices as a student engineer while risking his bursary money on the markets, Bernard took the first step over to finance by studying for his CFA charter during the turmoil years that ravaged telecom employment prospects following the dot-com meltdown. Being a reviewer for Computing Reviews provides him with the opportunity to read outside his current specializations and keep in touch with progress being made in topics and technologies he has worked with before.


     

Estimation of a simple linear regression model for fuzzy random variables
González-Rodríguez G., Blanco Á., Colubi A., Lubiano M.  Fuzzy Sets and Systems 160(3): 357-370, 2009. Type: Article

Dealing with fuzzy random variables is often more involved than one would initially suspect. Thus, if one were to look at the first part of the title of this paper “Estimation of a simple linear regression model,” one could easily...

 

Run-time enforcement of nonsafety policies
Ligatti J., Bauer L., Walker D.  ACM Transactions on Information and System Security 12(3): 1-41, 2009. Type: Article

I have always viewed digital security and protection as more of an art than a science, the art of staying only one step behind the ingenuity of the next kid trying to break into some system or release that small bit of code that will bring the...

 

The pitfalls of verifying floating-point computations
Monniaux D.  ACM Transactions on Programming Languages and Systems 30(3): 1-41, 2008. Type: Article

Working within the quantitative analytics group of an investment bank, I see floating-point inconsistencies as an often-recurring problem. With any valuation or risk difference having to be explained and justified, releasing new versions of the...

 

Data refinement and singleton failures refinement are not equivalent
Reeves S., Streader D.  Formal Aspects of Computing 20(3): 295-301, 2008. Type: Article

Proving something often requires pages of intricate mathematics. Disproving something only requires that you provide one counterexample, and this is exactly what Reeves and Streader do in their brief (six pages) yet clear attack on a proof used...

 

Progressing problems from requirements to specifications in problem frames
Li Z.  Applications and advances of problem frames (Proceedings of the 3rd International Workshop on Applications and Advances of Problem Frames, Leipzig, Germany,  May 10, 2008) 53-59, 2008. Type: Proceedings

In software engineering, the gap between what a customer wants and what they ultimately receive is often so large that it has become one of the favorite topics for textbook cartoons. Therefore, any efforts to improve on the status quo should be...

 
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