Vice President, Data Science – Private Equity Secondaries
Tasks
- Build portfolio analytics forecasting tools for cash flow and NAV
- Develop AI enabled workflows for document extraction summarization and analysis
- Develop repeatable workflows for efficient opportunity evaluation
- Drive projects end to end from problem definition execution delivery and adoption
- Identify new datasets and modeling techniques to improve investment decision making
- Improve data pipelines and data quality with data engineering and technology partners
- Lead development of data science models and analytical tools for PE secondaries pricing and valuation
- Partner with investment professionals to frame analytical questions and deliver data driven solutions
Perks/Benefits
Skills/Tech-stack
Data Infrastructure | Data Pipelines | Data Quality | Document processing | Forecasting | Knowledge Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Predictive Modeling | Python | SQL | Scenario Analysis | Statistical modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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