Viking Global · New York, NY
Skills: Python, SQL
Founded in 1999, Viking Global Investors (“Viking”) is a global investment firm with a long-term, fundamental, research-intensive approach to investing. Viking manages more than $54 billion of capital across public and private investments. Viking has offices in Stamford, New York, London, and San Francisco, and is registered as an investment adviser with the U.S. Securities and Exchange Commission. For more information, please visit vikingglobal.com . INTERNSHIP OPPORTUNITY The Data Science Intern(s) will work closely with other members of the Data Science team, Investment Analysts, and Data Engineers to analyze, extend, and build on Viking’s significant repository of alternative data assets and generate actionable investment insights. We seek an analytical and creative problem solver and provide them with the resources and tools to apply their Data Science training and experience to our most pressing and interesting research questions. The Data Science Intern will both work independently and collaborate with other intellectually curious quantitative professionals. This is a 10-week internship taking place over the summer. RESPONSIBILITIES Data Science Intern(s) will have the opportunity to develop impactful analyses and insights to be used across our investment process and organization. Activities could include but are not limited to: Build and deliver predictive analytics on companies, sectors, and macroeconomic trends Translate alternative data analysis into actionable insights for the investment team Develop methodologies to identify and evaluate investment opportunities in private companies Identify and evaluate new data sources Streamline the data life cycle, operating model, and process Test and evaluate new technologies to enhance our big data platform Create centralized and automated analyses and processes Contribute to Viking’s overall research effort by sharing information and insights across the firm QUALIFICATIONS Across the firm, we attract motivated,…
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