RECENT CLIENT PROJECT

Visixion GmbH has developed and conducted a focused Python training for selected people at Eurex, one of the world's leading derivatives exchanges. The major goal is to replace in certain areas a heterogeneous IT infrastructure (including, amongst others, Matlab and R) by Python as the main programming environment. Requirements are increased productivity, fast development cycles, easy collaboration, easy-to-maintain solutions and high performance.

DEXISION In The Press

DEXISION mentioned in the March 2010 Cover Story of Wilmott Magazine as first Derivatives Analytics suite based on the Python programming language. Read the whole Story.

CORE TEAM

DR. YVES J. HILPISCH

Dr. Yves J. Hilpisch is the founder and managing director of Visixion. He studied business administration with a focus on financial institutions and markets. Thereafter, he wrote his doctoral thesis about “Dynamic Hedging, Positive Feedback, and General Equilibrium”, analyzing the effects that dynamic hedging strategies may have on the underlying’s volatility in imperfectly liquid markets.

His vision is to establish a new standard for the modeling, valuation and risk management of financial derivatives. Building blocks of this vision are “simple, Web-based derivatives analytics”, “real-time financial engineering” and “global valuation” which are all major characteristics of the current version of our analytics suite DEXISION. Soon, “real-time Monte Carlo valuation” through the use of GPU technology (Graphical Processing Units) may join as a fourth building block.

Moreover, by using Python Visixion helps clients to improve upon existing financial modeling practices by increasing development speed and decreasing development and maintenance costs.

MICHAEL SCHWED

Michael Schwed is Head of Research and Development at Visixion. He is mainly responsible for the development of the Derivatives Analytics suite DEXISION. He is a mathematician who focused on number theoretic problems during his studies. After graduation, he worked, among others, on the development of a numerical library (in C) for Siemens AG. He is an expert for all questions around the efficient modeling and implementation of financial algorithms in Python. Moreover, he consults on the implementation of low cost but high performance IT infrastructures for financial engineering purposes.