Data Engineer – Audit Analytics & Controls

Goldman Sachs Bank AG

New York (NY)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Healthcare & Medical Insurance
Generous vacation policy
Retirement benefits
On-site health centers

Job summary

Goldman Sachs invites a senior Data Engineer to join the Embed Data Analytics team within Internal Audit in New York. You will build data-centric solutions, automate audit testing, and collaborate with auditors to improve control testing through scalable analytics.

The role requires strong SQL, programming experience in Python/Java/C++, and knowledge of data governance, with experience using visualization tools to present findings clearly.

Qualifications

  • 8+ years of experience in a technical role with a strong foundation in computer science, math, or statistics.
  • Solid SQL/RDBMS experience and data governance exposure.
  • Proficiency in Python/Java (and C++ in some teams) for data analysis and tooling.
  • Ability to communicate complex results clearly to auditors and management.

Responsibilities

  • Perform data modeling, data engineering, and data governance for audits.
  • Develop reusable analytical tools and automate audit testing workflows.
  • Collaborate with audit teams to source data and build data-centric solutions.
  • Create production-ready analytics using Tableau/Spotfire/QlikView and ETL processes.
  • Document data quality measures and validation narratives for controls.

Skills

RDBMS/SQL
Python
Java
C++
Data analysis
Data governance
Data visualization
Communication

Education

Bachelor’s in CS/Math/Statistics

Tools

Tableau
Spotfire
QlikView
SAS/SPSS/R

Job description

Goldman Sachs invites a senior Data Engineer to join the Embed Data Analytics team within Internal Audit in New York. You will build data-centric solutions, automate audit testing, and collaborate with auditors to improve control testing through scalable analytics.

The role requires strong SQL, programming experience in Python/Java/C++, and knowledge of data governance, with experience using visualization tools to present findings clearly.

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