Norman Niemer

Norman Niemer Email and Phone Number

Head of Investment Research and Data Science, Real Estate @ UBS
New York, NY, US
Norman Niemer's Location
New York, New York, United States, United States
Norman Niemer's Contact Details

Norman Niemer work email

Norman Niemer personal email

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About Norman Niemer

We are in a new technology cycle centered around cloud, data and AI. I enable data-driven organizations to rapidly generate and deliver business impact with data science. Unlike other data scientists who typically engage in lengthy data onboarding, research and infrastructure processes, my approach involves rapid iteration cycles to quickly achieve client-/user-driven business impact. My unique management style and technology stack facilitates that rapid iteration from idea to impact.My skills include:• Executing data projects from inception to scale• Applying data science, ML and AI in investment management• Building data products with rapid prototyping, data processing and analytics, front- and back-end infrastructure• Large-scale data processing with python pandas, dask, pyspark, SQL• Machine learning with scikit-learn, tensorflow, h2o, pymc3• Driving user adoption• Entrepreneurial leadership of data teams

Norman Niemer's Current Company Details
UBS

Ubs

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Head of Investment Research and Data Science, Real Estate
New York, NY, US
Norman Niemer Work Experience Details
  • Ubs
    Head Of Investment Research And Data Science, Real Estate
    Ubs
    New York, Ny, Us
  • Firstparty
    Vp Data Science & Analytics
    Firstparty Jul 2024 - Present
    New York, New York, Us
    FirstParty helps companies extract value from their dataMember of executive management, core responsibilities:● Customer Data Products - end-to-end responsibility for product development from data engineering through modeling to deployment using AI, ML, and cloud technologies● Internal Data Capabilities - ownership of design and development of internal automation capabilities and build out of FirstParty platform of data transformation tools● Customer Strategy and Execution - heavily engaged with customers ranging from F1000 to PE-backed Growth stage in data strategy, data products and GTM motions● Team - manage a technical team of data science and data analysts which includes team vision, organizational design, performance management
  • Acadia Data
    Consultant, Ai & Ml Investment Intelligence
    Acadia Data Aug 2023 - Present
    ● Provide investors with actionable, personalized investment intelligence produced by ML models and AI agents● Built GenAI product which produces personalized investment insights on 3000 companies, 90% reduction in time to market● Use LLMs to extract quantamental signals from filings, transcripts and news, outperforms document sentiment signals● Design and develop cloud-native data & AI stack covering data onboarding, quality monitoring, AI/ML modeling, web/chat UI
  • Bloomberg Lp
    Global Head Of Data Science & Quantitative Research
    Bloomberg Lp Jul 2022 - Jul 2023
    New York, Ny, Us
    ● Enable financial markets clients to succeed in the age of AI by providing them with premium data products and AI solutions● Manage teams responsible for building, testing and selling data products● Planned and executed data science and engineering projects using python, SQL, GCP, AWS, Snowflake, Databricks● Built sample trading strategies covering event-driven, quant factor, ESG/sustainability, thematic investing, systematic credit● Define and execute innovation strategy for prototyping and building next-gen AI/ML products. Significantly increased iteration speed and success rate by introducing rapid prototyping and customer discovery in cross-functional teams● Used NLP/LLMs and Generative AI for investment insights and risk management products and data feeds● Collaborated with sales & marketing on content marketing initiatives● Initiated and oversee ML-based data quality platform that monitors the health and accuracy at scale across all data products● Worked with engineering to productionize data and ML products. Interacted with CFO and BI teams to find growth opportunities
  • Ubs
    Chief Data Scientist, Ubs Asset Management
    Ubs Mar 2018 - Jul 2022
    Zurich, Ch
    ● Led data efforts covering multiple business units managing $100bn+ AUM across equities, credit and macro● Drove strategic vision to enhance investment research and decision making with data and data science● Managed suite of data products that generate actionable insights and signals across the entire investment workflow● Worked closely with investment teams to generate investment ideas, underwrite investments, enhance operating efficiencies● Led a team of data scientists and engineers● Co-led thematic investing effort, built ML-powered thematic investing platform● Sourced, onboarded and analyzed traditional and alternative data for teams across industries, regions and asset classes● Collaborated across company on data, analytics and innovation projects with CDO, IT and AI COE teams
  • Ubs O'Connor
    Head Of Data Science & Quantitative Research
    Ubs O'Connor 2014 - 2018
    Hedge fund unit of UBS• Founded and led data science initiative with the goal to make better investment decisions in less time • Sourced and analyzed datasets from external vendors that give investment teams unique company and industry insights • Developed ML-based decision analytics and trading systems • Responsible for technical contribution as well as project management, including roadmap, budgeting, hiring • Co-led cross-divisional project to bring an investment product to market
  • Astellon Capital Partners
    Portfolio Manager
    Astellon Capital Partners 2011 - 2013
    • Traded equities and credit in event-driven hedge fund long/short book• Data-driven investment analysis, investment strategy, trade execution and portfolio management• Contributed to business development• Managed and mentored junior analysts and interns
  • Caxton Associates
    Investment Analyst
    Caxton Associates 2009 - 2011
    New York, Ny, Us
    • Traded macro trends in equities • Analzed investment opportunities across tech, finance and industrial sectors globally • Built quantitative investment screens and dashboards for CIO and PMs
  • Morgan Stanley
    Investment Banking Analyst
    Morgan Stanley 2006 - 2007
    New York, Ny, Us
    • Strategic M&A and capital markets transactions• Founded and lead technology analyst committee• Received top-band ranking
  • Merrill Lynch
    Investment Banking Analyst
    Merrill Lynch 2005 - 2006
    New York, Ny, Us
    • Strategic M&A and capital markets transactions• Member of analyst management committee

Norman Niemer Skills

Machine Learning Equities Python Portfolio Management Investments Data Science

Norman Niemer Education Details

  • Harvard University
    Harvard University
    Leadership
  • Columbia University
    Columbia University
    Financial Engineering
  • Stanford University
    Stanford University
    Machine Learning
  • Cfa Institute
    Cfa Institute
    Cfa
  • City, University Of London
    City, University Of London
    Banking And International Finance

Frequently Asked Questions about Norman Niemer

What company does Norman Niemer work for?

Norman Niemer works for Ubs

What is Norman Niemer's role at the current company?

Norman Niemer's current role is Head of Investment Research and Data Science, Real Estate.

What is Norman Niemer's email address?

Norman Niemer's email address is ci****@****ail.com

What is Norman Niemer's direct phone number?

Norman Niemer's direct phone number is +1 201-352*****

What schools did Norman Niemer attend?

Norman Niemer attended Harvard University, Columbia University, Stanford University, Cfa Institute, City, University Of London.

What skills is Norman Niemer known for?

Norman Niemer has skills like Machine Learning, Equities, Python, Portfolio Management, Investments, Data Science.

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