Designing a cloud-native, scale-out data processing system in the realm of regulatory reporting for European banks. Key requirements for the system are high throughput and low latency; complete code, data structure and data versioning; automated load scaling; strong plug-in mechanism for third party business logic integration. The data modelling uses data vault modelling with data mesh principles
Designing and supporting the implementation of a cloud-native, multi-cloud data analysis platform as data lake with strong data ownership for analyzing car sensory data and car maintenance reports of all Volkswagen AG brands (VW, Audi, Skoda, Seat) to predict future fleet maintenance demands and the need for optimizing the parts stock keeping and supply chain. Executing a first set of analysis and reporting of significant improvement potential
Reviewing a software architecture, software quality, development processes and formulating an improvement strategy to become cloud native
Designing and supporting the implementation of a BCBS239-compliant cloud-ready bank data warehouse based on data vaults and data lakes for credit/liquidity risk, accounting and regulatory reporting as interface between business and IT. Planning and executing a software selection for the ETL tool replacing SAS Data Integration Studio
Implementation of a core banking system in village banks in Laos in cooperation with the Sparkassenstiftung, Gesellschaft für Internationale Zusammenarbeit (GIZ) and Bundensministerium für Zusammenarbeit (BMZ)
My team of 125 designs, implements, tests and prepares the going live of new processes and software for the application management, amount calculation and granting of agricultural subsidies.
My team of 20 and I organize the pre-sales activities for the product HyperCube in Germany, Swiss and Austria (GSA). HyperCube is a data mining method and tool for identify regularities in and derive rules from data sets. We manage the contacts, identify leads/suspects and generate opportunities by presenting product demonstrations to prospects. We execute proof of concepts. We generate marketing material and present at conferences on data mining and artificial intelligence. We transform client requirements into product features.
My team services the requirements and design of a business process monitoring and data quality management suites in large risk, return and capital management data warehouse and corresponding calculation engines redesign and implementation program.
My teams service the implementation, integration and change management phases of multiple Basel II compliant rating tools, regulatory reporting, risk weighted asset calculation and central risk data warehouse. The requirements engineering, use case documentation, quality management and verification are our core activities. I manage a BearingPoint team of 12 consultants and 20 customers on all levels
My team services a rating application for ship financing. The rating is based on a Monte Carlo cash flow simulation. The requirements engineering, use case documentation, quality management and verification are our core activities. We design the stochastic and simulation model, oversee the validation of the predictors and implement the model in a C# calculation core
further projects upon request
grade 1.7, 659/840
grade point average 4.1
1993 ? 1994
Military Service, Germany
2014-08 - today
Role: Self-Employed, Germany
1999-10 - 2014-08
Role: Senior Manager, Competence Group Risk Management
Customer: BearingPoint GmbH, Frankfurt, Germany
1997-02 - 1997-11
Role: Research Fellow, Computer Science
Customer: University Newcastle, Australia
Recent Publications as Author, Co-Author and Lector: on request