Applied AI Engineer, Global Banking & Markets

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$225,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $188k
$138k most similar roles pay here $258k

This role pays less than 64% of similar roles. Most pay $168,356–$246,150 — the shaded band above. At the midpoint, this role pays about $188k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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View all roles at Goldman Sachs

At a glance

TL;DR · Applied AI Engineer, Global Banking & Markets

As an AI Quant Engineer at Goldman Sachs’s Equities Business, you will join a dynamic team focused on integrating artificial intelligence with quantitative finance to enhance revenue generation and operational efficiency. Your primary responsibilities include designing, implementing, and deploying scalable AI models and workflows to drive commercial outcomes, leading rigorous experimentation to improve model effectiveness, and collaborating closely with stakeholders across the equities business to deliver innovative solutions. You will need a strong background in machine learning techniques, proficiency in Python or Java, and experience with data science toolkits. This role requires a Master’s or Ph.D. degree in fields such as Computer Science, Machine Learning, Quantitative Finance, Mathematics, or Physics, along with 1-3 years of industry experience in AI/ML.

What you'll do

  • Design and implement scalable AI models to drive commercial outcomes.
  • Lead data-driven analysis to improve the effectiveness of AI models.
  • Collaborate with stakeholders to deliver AI solutions for business use cases.
  • Champion the development and maintenance of production-ready software solutions.
  • Develop agentic workflows that integrate artificial intelligence in quant analytics.

What we're looking for

  • Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent industry experience.
  • 1-3 years of AI/ML experience with proven expertise in the industry.
  • Proficiency in Python and/or Java for developing scalable AI models.
  • Strong understanding of machine learning techniques and data science toolkits.
  • Ability to lead rigorous experimentation and analysis to improve AI model effectiveness.

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