Frankfurt, Hesse, Germany
Data Scientist in the Volatility Portfolio Management Team - Development of tools in Matlab for analyzing options data - Automation of daily processes - Data Cleaning and Preprocessing of data - Analyse data patterns and visualize it - Using statistical models to improve the performance - Work closely with cross-functional teams, including engineers, it developer, and business stakeholders
Development of an intelligent message processing methodology (KR INA, AI Fach-/IT-Projekt, NLP) - Programming on the source code - Creation of data analysis - Developing a mapping algorithm for internal and external data - Developing an user dashboard
- Acquisition & Structuring (Reneweable Energy) - Risk Controlling (Reporting) - Credit Risk Analysis (Maritime Industries, Power, Renewables and Water, Industry Service)
- Compilation of the empirical data set consisting of fundamental data and stock returns using SQl database queries - Implementation of a statistical approach to estimate the monthly fair values of more than 25,000 shares from 36 countries over a period of 20 years in R - Application of a trading strategy including several robustness tests