When the regulator knocks and the data does not add up, banks tend to skip the slide deck and call someone who has actually been on the floor. Thirty plus years inside banks, risk and compliance. Less theatre, more clean data models and plain talk.
I build data and AI that hold up when the conditions around them do not.
Sources: project history · about Andreas O. Schwan
Four areas where I know exactly where banks hurt, and how to make them breathe again.
A snapshot of recent engagements. Full list on request.
Driving the rollout of the Smaragd transaction monitoring platform for Private Banking Germany. Data quality across customer master and transaction records, mapping and migrating legacy data, working hand in hand with business and the BaFin interface.
Strategy and architecture for SIMOSphere AI: an AI governance framework for regulated financial institutions, EU AI Act compliant documentation, risk classification of AI systems. Stood up an LLM evaluation framework across Claude, ChatGPT, Gemini and Mistral, with standardised metrics. Leading a 7-person data and AI team.
Anti Financial Crime data management and compliance advisory in AML/KYC. Implemented and tuned NICE Actimize (SAM, WLF, CDD, KYC, STAR) for international portfolios. Reverse engineered legacy bank data estates and designed automatable mappings, including attribute-level data quality measurement.
Voices from 20 plus years in banking and consulting.
„No findings on IRBA. Reliable and precise."
Executive Director, Standard Chartered Bank
„Instrumental in our Basel II success."
Dresdner Bank
„Fast, flexible, ships. Made the impossible possible."
Entrepreneur
„Innovative answers to genuinely hard regulatory problems."
Director, Commerzbank AG
„A seasoned data manager. Explains complex topics so they actually click."
Frankfurt School of Finance & Management
„Reliable, sharp, gets to the point. Sizes a problem fast and delivers."
Director, Commerzbank AG
Not every success story starts with growth. Some start with a system that has fully collapsed.
After my first company went into insolvency, I did not pick safety. I picked clarity.
Most data initiatives do not fail because of technology. They fail on missing structure, missing integration and missing executability.
So a new approach took shape: not just analysing data, but orchestrating it so it actually works inside real organisations.
Not to administer existing systems. To change them so they enable the future.
SIMO was not founded in a perfect environment. It was born out of the need to make complex data realities controllable.
SIMOSphere AI. Trusted Sovereign AI Made in Germany.
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