Consultant for Finance, Process & Data Management

Finance, Process & Data Management – these terms can only serve as a rough guidance. The field encompassed by this description is much too wide to develop a deep expertise in all related aspects. Therefore, I will lay out the thematic priorities of my consulting service below. Data Technology A key prerequisite for analysis and exploitation of data is the structured acquisition, processing and storage of information, as well as a standardized access interface. With special regard to efficient storage and minimal access time, I provide advice to my customers on setting up or redesigning data bases, migrating data pools and implementing interfaces. In many applications, well-structured data can be processed faster if parallel computation is used instead of sequential algorithms. Meanwhile, the necessary hardware is readily available: by means of customary graphics processing units, even on notebooks complex analyses of large quantities of data can be carried out within short time. I support my customers with identifying, modelling and, if necessary, also implementing this optimization potential. Individual software solutions frequently necessitate comprehensive training of the users/employees; especially in cases of increased staff turnover, this can cause substantial costs. By embedding the customer-specific functionalities into a common program environment, these expenses can be minimized in many cases. Besides the integration of data and function resources in Microsoft Office (by client-server-architectures or DLLs), I also advice my clients on designing and implementing HTML-based user guidance solutions based on the customary MS Office user forms. Financial Consulting If two parties enter into a contract, the stipulated rights and obligations are usually associated with financial values. The entirety of the contract can therefore be regarded as a complex derivative of several different underlying values. My consulting service comprises modelling, valuation and stochastic analysis of such real option and obligation portfolios. The isolated examination of a financial product is rarely sufficient. A multitude of varyingly strong correlations with markets and streams of information must be considered, to be able to fully represent the risk profile of a given asset. In addition to statistical analyses and event studies, I especially focus on the implication of different stochastic models, to compile accurate and transparent risk models for my customers. Building upon the aforementioned correlation analyses, the risk efficiency of asset combinations in a portfolio can be measured and optimized – I obtain the necessary high processing power by exploiting parallel computation techniques. The objective is the identification of optimal portfolios, hedging and leverage strategies for my customers’ risk preferences. The Interface Developing new applications and analytic methods usually requires interdisciplinary co-operation between domain experts and the IT specialists that are responsible for the implementation. Different ranges of experience and communication cultures can easily result in evitable misunderstandings and unrealistic expectations. Based on my experience in both environments I can help my customers to avoid inefficiencies as far as possible and to facilitate a frictionless project flow from process modeling to implementation.