As part of GS's continued focus on execution innovation, the machine learning modelling team is looking for a high caliber, self-driven candidate that has experience in creating complex data pipelines to power the next generation of trading platforms and execution algorithms.
The successful candidate will help building data pipelines, sourcing, cleaning and feeding data into our statistical models. In addition to that he/she will help deploy our models in a resilient and scalable fashion ensuring that latency requirements are met.
As part of the Electronic Trading (GSET) team, our team is looking at leveraging market and trading data to develop machine learning/statistical models to improve our execution algorithms performance. We are also building BOTs that will deliver insights to our clients on their execution flow.
As part of the firm global machine learning effort we are collaborating with other teams to set the standard of machine learning based systems. This will be a chance for the right candidate to have a great impact into how we build machine learning systems here at Goldman Sachs.
Basic Qualification:
Preferred Qualification:
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.© The Goldman Sachs Group, Inc., 2019. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.
About Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base.
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