Summary
Marcus Presich is a data and analytics leader with eight years of experience building and operationalizing AI, machine learning, and data platforms for banking at Raiffeisenlandesbank Niederösterreich‑Wien. He leads a centralized analytics organization that delivers generative AI products (including a customer-facing ELBA Assistant), over 30 propensity models in production, and event‑based marketing that generated millions of leads while doubling conversion for strategic products. His remit spans product, engineering and governance—implementing BCBS 239‑grade data quality, privacy strategy, and orchestration of customer routing that automates hundreds of daily requests. Marcus combines a strong quantitative foundation (MSc in Quantitative Finance, MSc in Business Informatics, PhD work) with hands‑on product delivery and a growth mindset, evidenced by continuous learning through MIT Sloan programs. An advisor to municipal IT services, he brings a rare blend of research experience in stream reasoning and practical deployment of AI at scale in regulated environments.
9 years of coding experience
7 years of employment as a software developer
Vienna University of Technology
Digital Marketing and Social Media Analytics, Digital Marketing and Social Media Analytics at MIT Sloan School of Management
Master of Science (MSc) Quantitative Finance, Master of Science (MSc) Quantitative Finance at WU (Vienna University of Economics and Business)
English, Spanish, German