Blackstone Data Science - Private Equity Associate

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Blackstone is one of the world’s leading investment firms. 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 $564 billion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.

Team:

Blackstone Data Science

Team Description:

Blackstone Data Science (“BXDS”) is the firm-wide team that uses advanced analytics and statistical methods to make us better investors and business operators. Integrated into our investing groups, we focus on data-driven questions that matter to business and can be solved through the application of data analysis, statistics, computer programming, and machine learning. We develop insights through alternative datasets and analytical methods to help fill in gaps in our understanding of specific assets and markets, as well as help source new investment and partnership opportunities.

BXDS is part of the firm’s Portfolio Operations Group. In private equity, BXDS works hand-in-hand with deal teams to identify potential sources of corporate value that could be quantified and underwritten through data science. In our portfolio companies, we drive operating efficiencies and create incremental and new revenue streams by working directly with our management teams. In real estate, we work alongside deal teams to evaluate attractiveness of local markets based on novel datasets and proprietary geospatial models.

We are a team of data scientists, engineers, and strategists that analyzes complex datasets, develops predictive and analytical models, builds production-quality data flows, and advises on smarter data utilization. We sit at the intersection of quantitative and investment analysis, and focus only on projects that “move the needle.” You will have the opportunity to work directly with senior management at Blackstone as well as with top executives from our portfolio companies. If you enjoy fast-paced, stimulating quantitative work with tangible business impact, BXDS may be a good fit for you.

Job Title: Portfolio Operations – Data Science, Private Equity, Associate

Job Description:

Blackstone is looking to hire a passionate data scientist to be an integral member of BXDS focusing on private equity investing. This individual will play a key role in accelerating a data-driven evolution within Blackstone by using advanced analytics to evaluate live private equity deals, work with our portfolio company management teams to drive business value, and work with alternative datasets to curate novel insights.

The ideal candidate is a data practitioner, whom has experience working with diverse sets of structured and unstructured datasets. This individual needs to understand and own all steps of the data analysis process, including cleansing dirty and unstructured data, data tagging, feature engineering, and mapping. A data scientist will be responsible for independently exploring and working with a portfolio of datasets and have the opportunity to generate novel insight from the data. This individual needs to be passionate about the application of data science to drive business impact, and intellectually curious about solving real-world questions from data.

Qualifications include:

• Undergraduate degree required
• 4-7 years of relevant experience in a data-driven professional setting
• Proficiency in multiple programming and querying languages, including Python and SQL
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS)
• Foundation in statistics and mathematics
• Comfortable working with, and combining, disparate and diverse data sources
• A strong intuition for analytical methodologies and desire to solve novel technical challenges
• Excellence in balancing multiple projects and efficiently meet goals in a fast-paced environment
• Strong written and verbal communication
• Ability to work both independently and on a team
• No previous experience in the financial services industry is required

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.