Nicolas Wagner

Experience

• 

  South Thames College

  Sept 2011 - Jan 2012

  Business Administration Assistant
• 

  UBS Wealth Management

  Mar 2012 - Aug 2013

  Intern
• 

  Detecon (Schweiz) Consulting AG

  May 2014 - Sept 2014

  Consulting intern | IT Security Management

  Supporting Consultants in their daily work (creating slides, preparing client meetings, etc.).

• 

  HP

  Jun 2015 - Dec 2015

  Summer Internship | Product Management

  Conducting a study on printing behaviour with outlook to future changes, in cooperation with GfK (Growth from Knowledge).

• 

  SWIPRA - Swiss Proxy Advisor

  Jan 2017 - Aug 2017

  Financial Analyst | Corporate Governance

  Provide institutional investors with voting recommendations for the annual shareholder meeting of firms in the SMI (Swiss Market Index). Financial analysis of firms with special focus on their corporate governance practices. Enable investors in making informed decisions on governance matters.

• 

  Universität Zürich | University of Zurich

  Sept 2018 - Mar 2020

  Semesterassistent | Chair for Mangerial Accounting

  Supported Professor and PhD students with their research by providing administrative and technical assistance. Organizing a research seminar. Identifying and collecting relevant data sources and helping with data analysis to support the research projects.

• 

  EY

  Jun 2019 - Feb 2020

  Student Consultant Data Science | Transaction Advisory

  Implementation of a machine learning project to predict potential company acquisitions from annual financial statement figures.Development of different supervised models for classification (Random Forest, Support Vector Machine, Logistic Regression) in R.Visualization of data and model results and publication in internal Newsletter.

• 

  UBS

  May 2020 - now

  Utilize data analysis, visualizations and machine learning to support sales efforts.Collaborate with sales team to identify key client segments and develop affinity models for lead targeting. Experienced in data analysis, statistical modeling, and machine learning, comfortable working with large datasets and complex problems. Utilize data analysis and visualization to identify and mitigate key operational risks. Providing data-driven insights for informed decision making by Business Risk Management. Working with large datasets and solving complex problems as part of an agile Scrum Team.

  • Data Scientist | Client Analytics

    Feb 2022 - now

  • Data Analyst | Business Risk Management

    May 2020 - Feb 2022