Portfolio Operations - Data Science Engineering - Analyst (Deal Sourcing)

Key Skills

Python Programming, SQL, Cloud computing

Job Description

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 $881 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.

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. We work hand-in-hand with Blackstone's deal teams and portfolio company management teams to drive operating efficiencies and identify new sources of value. BXDS is 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: BXDS Engineering - Analyst (Deal Sourcing)

Blackstone is looking to hire a passionate data science engineer to be an integral member of BXDS. You will be focused on designing and building data science models and tools to identify and evaluate new investment opportunities using financial and alternative data.

You will play a key role in accelerating an evolution within Blackstone by applying data science techniques and integrating novel sources of information. From a technical perspective, you will be responsible for designing and implementing scalable technical solutions to drive differentiated investment insights. Intellectually, the successful candidate will be excited by implementing software engineering best practices to convert ad hoc analysis to production quality code to increase the scale and reach of data science across the firm.

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

This is a hybrid role that combines analytics, product, and engineering. The ideal candidate is a skilled computer programmer and data practitioner who has experience designing and building production-quality systems. Mastery of Python, SQL, statistics, and software engineering best practices are musts. Knowledge of DevOps technology like AWS, Containers, Kubernetes, and common CI/CD processes as well as machine learning is a plus.

Qualifications include:

• Undergraduate degree required in a technical discipline (e.g. computer science, data science, applied math, operations research, or engineering; top-tier university preferred)
• 1+ years of relevant experience as a Software Engineer, Machine Learning Engineer, Data Engineer, or Data Scientist
• Expert proficiency in programming and querying languages including Python and SQL, strongly typed and/or functional languages a plus
• Expert working with, and combining, disparate and diverse data sources
• Foundation in statistics and mathematics
• Experience with analytical methodologies and desire to solve novel technical challenges
• Excellence in balancing multiple projects and efficiently meeting goals in a fast-paced environment
• Ability to communicate technical concepts to non-technical audiences effectively both orally and in writing
• Self-starter who can work independently and meet deadlines with minimal oversight
• Ability to work independently as well as on a team
• No previous experience in the financial services industry is required

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.