AI ML Engineer, Global Banking & Markets, Investment Banking

Goldman Sachs

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Work type
On-site
Location
Dallas, TX
Posted
1 day ago

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How this pay compares to similar roles

Similar $200k
$144k most similar roles pay here $250k

This listing doesn't post a salary. Most similar roles pay $163,500–$235,850.

Based on 240 similar postings.

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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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At a glance

TL;DR · AI ML Engineer, Global Banking & Markets, Investment Banking

As an AI/ML engineer at Goldman Sachs’ Investment Banking Engineering team, you will design, implement, and deploy scalable AI models and workflows to enhance revenue generation and operational efficiency. Your day-to-day responsibilities include leading rigorous experimentation and data-driven analysis to improve model effectiveness for business use cases while collaborating with various teams across the equities division to deliver innovative solutions. You will champion the development of reliable, production-ready software by leveraging Python or Java alongside machine learning techniques and common data science tools. This role requires an advanced degree in a relevant field such as Computer Science, Machine Learning, Quantitative Finance, Mathematics, or Physics, along with 1-3 years of industry experience in AI/ML. Join us to push the boundaries at the intersection of finance and artificial intelligence.

What you'll do

  • Design and implement scalable AI models to drive commercial outcomes.
  • Lead experimentation and analysis to continuously improve AI model effectiveness.
  • Collaborate with stakeholders to deliver AI-driven solutions for business use cases.
  • Champion the development of reliable, production-ready software solutions.
  • Maintain and test AI systems to ensure operational efficiency.

What we're looking for

  • Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent industry experience.
  • 1-3 years of AI/ML experience with expertise in quantitative analytics and statistics.
  • Proficiency in Python and/or Java for developing scalable AI models.
  • Strong understanding of machine learning techniques and algorithms.
  • Experience leading data-driven analysis and rigorous experimentation to improve model effectiveness.
  • Ability to collaborate across teams on pioneering projects integrating AI with finance.
  • Commitment to developing, testing, and maintaining reliable production-ready software solutions.

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