Fabian Waldow
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Fabian Waldow
- Current 3 years, since Jun 2023
Digital Ambassador in Treasury
Siemens Healthineers AG
- Conceptualization and management of digitalization strategy in Treasury in close alignment with Treasury leadership team
- Current 4 years and 8 months, since Oct 2021
Financial Risk Manager
Siemens Healthineers AG
- Quantification and management of financial group risks, e.g., FX risk, interest rate risk, liquidity risk and counterparty risk - Conceptualization and management of group wide market data feed - Standardized reporting of risks to Group Treasurer via digitized Risk Management Reporting - Conceptualization, implementation and management of group wide valuation engine for outstanding derivatives - Project management with regards to implementation of group wide Treasury Management System
- 2 years and 1 month, Oct 2019 - Oct 2021
Financial Data Scientist
Siemens Healthineers AG
- Financial Data Science with Python and SQL - Conceptualization and implementation of digital finance use cases with relevant stakeholders - Visualization of generated business insights via Qlik Sense and Power BI - Implementation of award winning group wide liquidity forecasting tool based on machine learning
- 6 months, May 2019 - Oct 2019
Working Student: Treasury Strategy and Operations
Siemens Healthineers AG
- Support in digitalization efforts - Support in Treasury projects
- Support in digitalization efforts - Support in ad-hoc data requests
- 5 months, Oct 2017 - Feb 2018Institut für Arbeitsmarkt- und Berufsforschung (IAB)
Working Student: Labor markets
- Statistical analysis in the field of labor markets
Ausbildung von Fabian Waldow
- Current 3 years and 10 months, since Aug 2022
GARP Financial Risk Manager (FRM)
GARP
Financial Risk Management Certification for risk professionals
- 3 years and 1 month, Oct 2016 - Oct 2019
Economics
FAU Erlangen-Nürnberg
- Master Thesis: Financial Machine Learning in Futures Markets - Specialization in finance and statistics - Solid understanding of econometric methods (OLS, Logistics Regression, Multivariate Time Series Analysis)
- 3 years and 7 months, Mar 2013 - Sep 2016
Wirtschaftswissenschaften
FAU Erlangen-Nürnberg
Thesis: Rising Inequality: Theory and Evidence
Sprachen
English
C1 (Fließend)
German
C2 (Verhandlungssicher / Muttersprachlich)
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