Vice President - 8105968

The Goldman Sachs Group
New York, NY Full Time
POSTED ON 8/4/2024 CLOSED ON 8/30/2024

What are the responsibilities and job description for the Vice President - 8105968 position at The Goldman Sachs Group?

Job Duties: Vice President, Quantitative Engineering with Goldman Sachs Bank USA in New York, New York. Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and five (5) years of experience in job offered or a related role. Prior experience must include three (3) years with Master's OR five (5) years with Bachelor's with the following: C , Java, C#, or Python; working with stakeholders, performing analysis, and managing risks at various scenarios; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models, machine learning models, or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying machine learning algorithms or data structures to write complex programs; and applying data science and machine learning packages during research and development such as Numpy, Pandas, SKlearn, TensorFlow, Pytorch, or Huggingface.

Salary Range: The expected annual base salary for this New York, New York, United States-based position is $236,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits: Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here: https://www.goldmansachs.com/careers/discover/benefits-summary-US.pdf

The Goldman Sachs Group, Inc., 2024. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.


The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.

 

Salary : $236,000

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