Advising clients regarding• Statistical analyses/modeling (multivariate statistics, discriminent analysis, time series analysis etc.), Machine Learning and Data Mining using Python, R, SPSS and/or Stata• Development of research designs• Presentation and visualization of data using ggplot2, Tableau, etc.• Preperation of management summaries

• Betreuung von Kundenprojekten im Print- und Online-Bereich• Koordination und Durchführung von Forschungsstudien in der Marktforschung• Durchführung von statistischen Analysen aus den Bereichen der explorativen sowie multivariaten Statistik unter Anwendung von Software-Lösungen wie R und SPSS• Aufbereitung, Fusionierung und Umstrukturierung komplexer Datensätze sowie Erstellung von Datensatzdokumentationen in Form von Codebüchern• Interpretation, Visualisierung und Kommunikation quantitativer Ergebnisse• Teamübergreifende Unterstützung hinsichtlich Themen aus dem Data Science-Bereich• Projektübergreifende Sicherstellung des Schutzes personenbezogener Daten (DSGVO, TTDSG)

• Quantitative and qualitative analysis as well as assessments of Investment processes and Funds • Construction of dedicated ESG-RfP's, ESG-Scorings as well as practical tools to asses Funds in context of concepts related to Behavioral Finance• Preperation of Research Reports and performing fund selection with scope on Fixed Income as well as Alternative Investments• Performing Peergroup-Analysis and risk calculations of Portfolio-Holdings

- Worked in a research project focused on finding determinants in private investors to select sustainable investment products (SRI) through choice experiments- Analyzed financial and experimental data from empirical studies using descriptive as well as inferential statistics; programmed adequate syntax with software like Stata- Used Reuters financial datastream to compare index values with experimental data in time-frame analyses - Searched for relevant literature and key papers in support of future research projects - Visualization of statistical analyses, constructed tables and summed key messages of research papers for upcoming presentations; edited materials for teaching seminars

• Application of several neuroscience methods (fMRI, EEG) in experimental contexts and Evaluation of results using statistical and neurophysiological analyses• Development of research designs and Publishing Research in Peer-Reviewed Journals