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Blackstone Portfolio Operations - Data Science, Vice President
Company | Blackstone |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-07-26 |
Posted at | 10 months ago |
Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $975 billion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, Twitter, and Instagram.
- Understand and own all steps of the data analysis process, including cleansing dirty and unstructured data, EDA, modeling, visualizing, and presenting.
- Work with diverse sets of structured and unstructured datasets.
- Lead data science strategy for a Blackstone business unit.
- Drive operating efficiencies and create incremental and new revenue streams by working directly with management teams.
- Analyze complex datasets, develop predictive and analytical models, build production-quality data flows, and advise on smarter data utilization.
- Identify potential sources of corporate value that could be quantified and underwritten through data science.
- Independently explore and work with a portfolio of datasets and generate novel insight from the data.
- Work alongside deal teams to evaluate attractiveness of local markets based on novel datasets and proprietary geospatial models.
- Accelerate a data-driven evolution within Blackstone by using advanced analytics to evaluate live private equity deals, working with portfolio company management teams to drive business value, and work with alternative datasets to curate novel insights.
- Bachelor’s degree (or foreign equivalent) in Statistics, Mathematics, or a related field
- At least 5 years of experience in job offered or related occupations
- At least 5 years of experience: in a data-driven professional setting; using Python to develop and implement statistical models in a business setting; using SQL to clean and structure big data; and using Microsoft PowerPoint to develop internal and external presentation materials.
- Experience can be concurrent.
- Marketing Blackstone funds to new or existing clients;
- Attending client meetings where you are discussing Blackstone products and/or and client questions;
- Structuring or creating Blackstone funds/products; and
- Supervising or training securities licensed employees;
- Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.
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