Norman Niemer Email & Phone Number
@ubs.com
2 phones found area 201 and 212
LinkedIn matched
Who is Norman Niemer? Overview
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Norman Niemer is listed as Head of Investment Research and Data Science, Real Estate at UBS, based in New York, United States. AeroLeads shows a work email signal at ubs.com, phone signal with area code 201, 212, and a matched LinkedIn profile for Norman Niemer.
Norman Niemer previously worked as VP Data Science & Analytics at Firstparty and Consultant, AI & ML Investment Intelligence at Acadia Data. Norman Niemer holds Executive Mba, Leadership from Harvard University.
Email format at UBS
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AeroLeads found 1 current-domain work email signal for Norman Niemer. Compare company email patterns before reaching out.
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
Listed skills include Machine Learning, Equities, Python, Portfolio Management, and 2 others.
Norman Niemer's current company
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Norman Niemer work experience
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Vp Data Science & Analytics
CurrentFirstParty 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
Consultant, Ai & Ml Investment Intelligence
Current● 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
Global Head Of Data Science & Quantitative Research
● 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
Chief Data Scientist, Ubs Asset Management
● 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
Head Of Data Science & Quantitative Research
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
Portfolio Manager
• 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
Investment Analyst
• 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
Investment Banking Analyst
• Strategic M&A and capital markets transactions• Founded and lead technology analyst committee• Received top-band ranking
Investment Banking Analyst
• Strategic M&A and capital markets transactions• Member of analyst management committee
Norman Niemer education
Executive Mba, Leadership
Master Of Science (Ms), Financial Engineering
Professional Program, Machine Learning
Cfa
Bachelor Of Science - Bs, Banking And International Finance
Frequently asked questions about Norman Niemer
Quick answers generated from the profile data available on this page.
What company does Norman Niemer work for?
Norman Niemer works for UBS.
What is Norman Niemer's role at UBS?
Norman Niemer is listed as Head of Investment Research and Data Science, Real Estate at UBS.
What is Norman Niemer's email address?
AeroLeads has found 1 work email signal at @ubs.com for Norman Niemer at UBS.
What is Norman Niemer's phone number?
AeroLeads has found 2 phone signal(s) with area code 201, 212 for Norman Niemer at UBS.
Where is Norman Niemer based?
Norman Niemer is based in New York, United States while working with UBS.
What companies has Norman Niemer worked for?
Norman Niemer has worked for Ubs, Firstparty, Acadia Data, Bloomberg Lp, and Ubs O'Connor.
How can I contact Norman Niemer?
You can use AeroLeads to view verified contact signals for Norman Niemer at UBS, including work email, phone, and LinkedIn data when available.
What schools did Norman Niemer attend?
Norman Niemer holds Executive Mba, Leadership from Harvard University.
What skills is Norman Niemer known for?
Norman Niemer is listed with skills including Machine Learning, Equities, Python, Portfolio Management, Investments, and Data Science.
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