Financial services professional by trade, software engineer by craft, problem solver at heart.
Product owner for the data and integration platform in Zurich Insurance's Property & Casualty business. Previously Vice President in data analytics at Credit Suisse.
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Data scientist, then Vice President leading a team of up to six, in a bank's Wealth Management, Asset Management and Swiss Bank divisions.
Then, by choice: hands-on again as a data and software engineer at Zurich Insurance — before returning to leadership as product owner for a 15–20 person team today.
I take on the problem that's most urgent and see it through, independent of title.
A decade across insurance, banking and consulting — audit analytics for wealth and asset management, and operational technology inside a property & casualty business. Enough context to read a business quickly and ask the right questions.
Cloud data platforms and integration services built and run in production — not only specified. Data pipelines on Azure Synapse, Java microservices, event-based integration and infrastructure as code.
Product ownership for a 15–20 person team, formal line management, and stakeholder work up to Managing Director level. Translating between business intent and what engineering can actually deliver.
Product owner for a 15–20 person team including external partners, responsible for our Property & Casualty data and integration platform — from feature analysis through delivery, plus resourcing, hiring and risk controls.
Built Java-based microservices and cloud integration flows, including an automated document-to-policy conversion service spanning policy, claims and CRM systems.
Onboarded key Property & Casualty policy and claims systems onto a new Azure Synapse analytics platform, from requirements through pipeline design and testing.
Led a delivery team of up to six as portfolio manager for the bank's Wealth Management, Asset Management and Swiss Bank analytics book across 40+ audits per year, and advised data teams across the bank.
Data scientist for the bank's Wealth Management, Asset Management and Swiss Bank divisions — ETL pipelines, machine learning models and data products, and process mining across the group.
Data-driven process improvement projects across the group — ETL pipelines, process mining tooling and machine learning, leading the data workstream on each project.
Deliberate transition from management consulting into software and machine learning: Python fundamentals, then Udacity's Self-Driving Car Engineer and Deep Learning Foundations nanodegrees.
Process and IT improvements for capital markets and reporting clients, including cutting a financial close cycle from seven to four days, and leading a team of three on a capital markets study of Europe's 500 largest listed companies.
Equity capital markets in Frankfurt, group strategy in Munich, and pre-series logistics in Hanover, alongside studies at TU Munich.