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Development DevOps Intern: Summer 2020
Liquidnet | New York, New York
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Job Description

Job Description

Do you enjoy working with cutting-edge technology? Are you interested in financial services but want something that looks and feels more like a tech company? That's awesome. We've been looking for you.

The Algorithmic Trading Development team is responsible for our suite of state-of-the-art trading algorithms; providing our clients and agency traders with superior order execution while minimizing their market impact. You will write code in Java and Scala, get familiar with Docker Kubernetes, and other DevOps technologies.


* Writing code in Java/Scala
* Configure and deploy applications to run in our cloud infrastructure
* Collaborate with a team of global trading experts on agile requirements analysis, problem resolution, and quality assurance.


* Currently enrolled in a Bachelor's or Master's degree program with a concentration in computer science or a similar field.
* Proficiency and interest in learning programming languages like Java, Scala, etc.
* Knowledge of financial services (equities in particular) is a plus but not required.

About Liquidnet

Liquidnet is a technology-driven, global institutional investment network that intelligently connects the world’s investors to the world’s investments. Since our founding in 1999, our network has grown to include more than 1,000 institutional investors that collectively manage $33 trillion in equity and fixed income assets. Our network spans 46 markets across six continents and seamlessly connects institutional brokers, investment banks, exchanges, alternative trading venues, and a growing list of data and research providers. We built Liquidnet to make global capital markets more efficient, and continue to do so by adding additional participants, enabling trusted access to trading and investment opportunities, and delivering the actionable intelligence and insight that our customers need. For more information, visit www.liquidnet.com and follow us on Twitter @Liquidnet.

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