Head Of Investment Research And Data Science, Real Estate
New York, New York, United States
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Summary
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Senior
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Top School
Norman Niemer is a data and investment technology leader with 11+ years of experience building AI-driven research and trading capabilities across top financial firms and startups. Currently Head of Investment Research and Data Science for Real Estate at UBS, he has founded and scaled an ML-first investment intelligence startup that automated personalized insights across thousands of companies. Norman combines hands-on expertise in large-scale data engineering (pandas, Dask, PySpark, Snowflake) and ML (scikit-learn, TensorFlow, H2O, PyMC3) with a rapid-prototyping, user-driven approach that shortens time from idea to business impact. He has repeatedly led cross-functional teams to productize NLP/LLM-based signals, ML-backed data quality platforms, and thematic investing engines that directly inform portfolio decisions across $100bn+ AUM. Educated in financial engineering and machine learning and an Executive MBA graduate of Harvard, he blends quant trading pedigree with entrepreneurial product instincts. A less obvious trait: he consistently drives adoption by embedding prototypes into workflows rather than handing off models, ensuring measurable operational change.
11 years of coding experience
2 years of employment as a software developer
CFA, CFA at CFA Institute
Bachelor of Science - BS, Banking and International Finance, Bachelor of Science - BS, Banking and International Finance at City St George’s, University of London
Executive MBA, Leadership, Executive MBA, Leadership at Harvard University
Master of Science (MS), Financial Engineering, Master of Science (MS), Financial Engineering at Columbia University
Professional Program, Machine Learning, Professional Program, Machine Learning at Stanford University
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Norman Niemer - Head Of Investment Research And Data Science, Real Estate