About
Brant is a scientist, practitioner, and entrepreneur. He endeavors to explore, advance, and apply the science of Computational Intelligence and Advanced Technology to industry. In particular he is interested in the financial services sector where he provides world class expertise and advice on the application & use of computational intelligence and advance technology to the financial system microstructure. His primary areas of expertise is in neural networks, genetic algorithms, fuzzy logic, Intelligent Agents, massively computational intense systems, econometrics and financial engineering. But he also keeps his eyes on upcoming advances in science and technology; currently this includes quantum computing, network science, complexity, quantum gravity, and nanotechnology. As the financial markets continually change, both in microstructure and behavior, so does the need for the underlying computational methods. Brant is currently working on several projects that promote and aid in the application of advanced technology to Capital Markets and the financial industry in general.
This Blog is dedicated to exploring the area of Computational Intelligence within Finance. This includes the application of neural networks, fuzzy logic, evolutionary computing, swarm intelligence and network science. These computational approaches have promised much over the years, but I believe it is only now possible to get the scale out of hardware, processors and memory, to suitably simulate them to apply them to Finance. Areas of application include price formulation, risk analysis, algorithmic trading, one-to-one marketing, and capital requirement calculations.
He is also currently responsible Advisory for the Global Financial Services Practice within Corpus Consulting. The practice has been organized into the four lines of business-including; (i) Global Markets/IB, (ii) Asset Management, (iii) (Re) Insurance & (iv) Retail Banking. These organizations delivery projects to major financial institutions throughout the world through four distinct service offerings; custom application build, package implementation, process improvement, and knowledge outsourcing. Projects types include securities lending hubs & auctions, electronic trading systems, enterprise risk systems, exotic trading systems, such as weather and energy derivatives, FX trading systems, order management systems, equity program trading, (re) insurance risk financing and regulatory loan exposure calculations, to mention but a few. The business currently has a global network, with offices in New York, London, Charlotte, Chicago, Toronto, and India.
Brant began his career in academia, researching computational intelligence, which he has written several papers on, and then became a career consultant whilst continuing his research. He has a long track record of delivering mission critical projects for some of the most prestigious clients on Wall Street requiring computationally intense and resilient solutions. In the wake of new enabling technologies and the availability of massive amounts of data, he is now concentrated on two things; delivering a even higher level of quality technology and the second, researching and advancing the science of computational intelligence and its application to global financial markets. This will be achieved by releasing unprecedented computational scale through newly realized methods unachievable only several years ago, and discussed in the following Blogs:
- Advanced Technology and Methods within Finance Blog
- Electronic Market Microstructure Blog
- Computational Intelligence within Finance Blog
- Global Finance: A Chaotic or Structured Network Blog
Educational Background
Ph.D., Electronic Engineering, University of Aberdeen. Dissertation entitled “The Application of Neural Networks to Software Reengineering”. A UNIX based client-server software reengineering tool running under X Windows, was developed, which mapped structured source code (COBOL) to an Object-Oriented representation (OMT). (NC).
B.Sc., Electronic Engineering, University of New Brunswick, studies concentrated on “Analog VLSI and Neural Networks”, where a pattern recognition neural network was implemented in both discrete electronic components & 1.3 CMOS VLSI technologies using various tools including Workview & Cadence.
