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 clientsāfrom grandparents, doctors, and teachers to large institutionsāturn 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
Key Responsibilities
šBuild and maintain web harvesting and data pipelines, transformations, and workflows to support research hypotheses and data analyses. šDevelop new capabilities to source high-quality data and create scalable and maintainable data solutions. šDevelop research utilities, prototypes, dashboards, or exploratory tools as needed by the pod for insight generation or research workflows. šEngage with investors and researchers to understand research workflows and translate requirements into data solutions. šCollaborate with core engineering teams to adopt data extraction and management tools and technologies to accelerate investor research. šCollaborate with AI leads to source data and build AI applications to supplement investor research with AI-assisted solutions.
Skills & Experience
šStrong programming skills in Python and SQL. šStrong problem-solving and analytical skills šKnowledge/curiosity about investment research workflows or similar domains. šPrior experience in data engineering or data analytics, or data intensive applications. šProven ability to work collaboratively across engineering and business teams.
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