Internal Audit Data Strategy & Analytics Associate

Goldman Sachs

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Quick summary

Work type
On-site
Location
New York, NY
Posted
45 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $158k
$108k $201k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $128,152–$188,237.

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 81 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 37 roles with salary data.

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At a glance

TL;DR · Internal Audit Data Strategy & Analytics Associate

The Internal Audit-IA Data Strategy & Analytics-New York-Associate joins the Internal Audit division to design, develop, and maintain Python-based applications and automation for analytical and audit workflows. This role involves building secure RESTful APIs using Flask, creating responsive user interfaces with React and JavaScript, and refining logical and physical data models using SQL. The Associate will manage source control and CI/CD pipelines in GitLab, while ensuring engineering quality through unit tests and Test-Driven Development. Working in a global, distributed Agile/Scrum environment, the position requires 3-5 years of software engineering experience, specifically with Python, pandas, and NumPy. The work focuses on solving technical problems within the internal audit domain by delivering production-grade components and containerized applications to support reporting and data analytics needs.

What you'll do

  • Design, develop, test, and maintain Python-based applications and automation for audit workflows.
  • Build and expose secure RESTful APIs using Flask or similar frameworks to serve internal data.
  • Develop responsive user interfaces using React and JavaScript based on business requirements.
  • Design data models and write efficient SQL to support reporting and analytics needs.
  • Manage source control, code reviews, and CI/CD pipelines within GitLab.
  • Package and deploy applications to containerized environments like Docker or Kubernetes.
  • Ensure engineering quality through unit tests, integration tests, and Test-Driven Development.

What we're looking for

  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical discipline.
  • 3-5 years of professional software engineer experience.
  • 3-5 years of hands-on Python development experience building production applications and using pandas and NumPy.
  • 1-2 years of hands-on experience building UIs with React and modern JavaScript.
  • Solid SQL skills and a good understanding of data modeling concepts including normalization and schema evolution.
  • Hands-on experience with GitLab, core Git concepts, and CI/CD pipelines.
  • Demonstrated experience implementing unit tests, integration tests, and Test-Driven Development.
  • Proven track record operating in a global, distributed Agile/Scrum setup.

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