Fabian Waldow
Angestellt, Digital Ambassador in Treasury, Siemens Healthineers AG
Abschluss: Master of Science, FAU Erlangen-Nürnberg
Erlangen, Deutschland
Werdegang
Berufserfahrung von Fabian Waldow
Bis heute 1 Jahr, seit Juni 2023
Digital Ambassador in Treasury
Siemens Healthineers AG
- Conceptualization and management of digitalization strategy in Treasury in close alignment with Treasury leadership team
Bis heute 2 Jahre und 8 Monate, seit Okt. 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 Jahre und 1 Monat, Okt. 2019 - Okt. 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 Monate, Mai 2019 - Okt. 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 Monate, Okt. 2017 - Feb. 2018
Working Student: Labor markets
Institut für Arbeitsmarkt- und Berufsforschung (IAB)- Statistical analysis in the field of labor markets
Ausbildung von Fabian Waldow
Bis heute 1 Jahr und 10 Monate, seit Aug. 2022
GARP Financial Risk Manager (FRM)
GARP
Financial Risk Management Certification for risk professionals
3 Jahre und 1 Monat, Okt. 2016 - Okt. 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 Jahre und 7 Monate, März 2013 - Sep. 2016
Wirtschaftswissenschaften
FAU Erlangen-Nürnberg
Thesis: Rising Inequality: Theory and Evidence
Sprachen
Englisch
Fließend
Deutsch
Muttersprache