About the company
BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.
Job Summary
Responsibilities
đź“ŤWork with partners to translate business needs into well-scoped technical projects. đź“ŤEfficiently interact with large and complex datasets to evaluate technical methodologies. đź“ŤRapidly prototype technical solutions implementing groundbreaking tools from optimization and machine learning. đź“ŤProduce technical whitepapers and make clear technical presentations to senior management. đź“ŤWork with engineers and partners to build product-ionized solutions that are reliable, scalable, and operate in compliance with firm-wide processes.
Qualifications
đź“ŤEither a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field), or đź“ŤAn MS degree in a quantitative field plus 3+ years of professional experience in optimization, machine learning, statistics, exploratory data analysis, and other aspects of the data science process. đź“ŤStrong theoretical background in and practical experience using optimization, statistical techniques, and machine learning, preferably proven through academic publications or open-source codebases. đź“ŤStrong familiarity with programming languages such as Python, Julia, or R. đź“ŤExperience with the analysis or application of data in finance, economics, sociology, or related fields is a plus.
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