Detroit Metropolitan Area
Driving implementation of a state-of-the-art risk management IT architecture at a large real estate financier/bank in the role of a product owner: containerized risk services with REST APIs, Angular frontend, advanced data analytics in Jupyter Notebooks, test automation with Cucumber, DevOps pipelines and more
Treasury software upgrade project at a supranational bank in Luxembourg: Technical migration and optimization of customer-specific functionalities and interfaces, market data test coordination - from plan to dev to UAT to go-live 🚀
• Creating, developing and implementing a Data Strategy for a Risk Classification function • Establishing Risk Management functions as optimal service providers of risk classification algorithms for Daimler Group entities • Development of fraud prevention and behavioral scoring methods and systems applied during credit lifecycle • Machine learning models in Python and R for risk classification, and AI scoring • Coordination of use cases in strategic data lake projects • Setting up legal and data protection agreements for compliant AI algorithms in production • Organizing and hosting of datathons / data science hackathons
Daimler Financial Services AG / Daimler AG, Risk Management - (Credit Risk Provisioning, OEM Supplier Risk, Rating Models, Machine Learning) CAReer Projects: - Global IFRS 9 Project (Credit Impairment) - Software Project Management & Testing - China Rollout IFRS 9 & Portfolio Risk Management - Data, Method, Tools & Processes - Financial Supplier Risk Management - Predictive Rating Models: Valuation & simulation of financial situation of OEM suppliers (Tool development, Monte Carlo Simulation, Financial Forecasting, Credit Ratings) - Machine Learning in Credit Rating (Neural Network Development in R/SAS/Python)
Internal Business Process Evaluation and Benchmarking at Mercedes-Benz Financial Services Taiwan Ltd.: Development and technical implementation of a benchmarking model (combination of Multi-attribute Decision-Making and Balanced Scorecard) which evaluates, rates and ranks the importance and impact of future business process improvements. Sector: automotive financial services company (financing, leasing etc.)