Presented By: University Career Center
Arrowstreet Capital | Research Educational Event
Interested in working in a collaborative, analytical and data-driven organization? We encourage you to learn more about Arrowstreet Capital by attending our virtual educational session on April 17th!
Zoom Information: https://arrowstreetcapital.zoom.us/j/82225797640
Meeting ID: 822 2579 7640
Arrowstreet Capital, LP is a privately held Boston-basedinvestment firm that manages global equity portfolios for institutional investors around the world. Founded in 1999, we currently manage approximately $140B for more than 200 clients and have over 400 employees. We are aresearch-driven investment management firm that takes a quantitative, systematic approach to managing our clients’ portfolios. We aim to deliversustainable alpha and be a trusted fiduciary for our clients.
Our intern program combines theory, practice and technology and provides significant insights into quantitative investment management. Our goal is for our interns to make tangible and significant contributions to the team, whilelearning about markets, software development practices and quantitative research technologies in the context of model-driven asset management.
Zoom Information: https://arrowstreetcapital.zoom.us/j/82225797640
Meeting ID: 822 2579 7640
Arrowstreet Capital, LP is a privately held Boston-basedinvestment firm that manages global equity portfolios for institutional investors around the world. Founded in 1999, we currently manage approximately $140B for more than 200 clients and have over 400 employees. We are aresearch-driven investment management firm that takes a quantitative, systematic approach to managing our clients’ portfolios. We aim to deliversustainable alpha and be a trusted fiduciary for our clients.
Our intern program combines theory, practice and technology and provides significant insights into quantitative investment management. Our goal is for our interns to make tangible and significant contributions to the team, whilelearning about markets, software development practices and quantitative research technologies in the context of model-driven asset management.
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