Data Analytics Developer, Associate - Credit and Insurance

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 $1.1 trillion 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 . Follow @blackstone on , , and .Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.

BXTI is entrepreneurial – our open, iterative design processes and rapid pace of engineering mean that everyone on the team can make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.

Blackstone is looking to hire an Associate to be an integral member of the Blackstone Technology Global Liquid Analytics team. This individual will be responsible for the analysis, design, implementation, testing, debugging and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform. The candidate will help build the platform through use data science, statistics, and computer programming.

The candidate must possess the knowledge to work hand-in-hand with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams focusing on creating scalable analytics tooling. This includes building interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients. The candidate will also be using their engineering and/or data science background to help find alpha in complex credit and structured security markets.

From the technical perspective, the candidate should be comfortable working with diverse datasets and transforming unstructured & unclean data into an organized format suitable for data science. The individual should be proficient with Python and SQL to build a clean and scalable code base that powers the analytical models and generates novel insight from the data. The candidate is responsible for building interactive data visualization tools using Business Intelligence software like Sigma & Tableau.

The candidate also plays an important role in implementing and extending core system architecture and data warehouses using Snowflake & AWS to build a solid foundation for analytics. Web development expertise in React & Typescript based application frameworks in AWS infrastructure (Terraform) is an added plus.
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* Qualifications:

*** Bachelors or Masters degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).
* 3+ years of experience in data analytics/data science role.
* Proficiency in database design as well as SQL and Python programming languages.
* Work experience with business intelligence applications (e.g., Sigma, Tableau). Work experience with designing and implementing scalable portfolio analytics platforms.
* Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.
* Proficient in programming in Python and SQL to build scalable and clean code base for analytics platforms.
* Expert in database architecture design and performance optimization. Strong skills designing optimal data structures to host diverse financial data sets. Expert in data visualization tools like Sigma & Tableau. Can quickly build large scale complicated…