Data Engineer for Internal Audit Analytics & Automation

The Goldman Sachs Group; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

The Goldman Sachs Group's Internal Audit team in New York seeks a seasoned Data Scientist to join the Embed Data Analytics group. You will build data-driven tools to support audit testing, collaborate with audit teams, and translate complex data into actionable insights that strengthen the firm's control environment.

Requirements include 8+ years in data science, strong SQL, Python, Java, ETL, and visualization tools.

Qualifications

• 8+ years of experience in computer science, math or statistics.
• Strong experience in RDBMS/ SQL.
• Exposure to ETL processes, data engineering and data governance.
• Experience in implementing Data Blessing/Data Quality measures and entitlement models.
• Proficiency in programming languages such as Python, Java, or C++.
• Knowledge of basic statistics and their application to data.
• Strong communication skills and ability to work in a team.
• Proven collaboration within a Data Science team and initiative to improve performance.

Responsibilities

• Perform database-related activities – Data Modeling, Data Engineering, Data Governance, and maintenance of Entitlements.
• Manage requirements tailored to each audit project and provide results for audit insights (sample selection, data integrity, etc.).
• Build production-ready analytical tools to automate processes using Tableau, Spotfire or QlikView.
• Execute data analysis activities including ETL procedures and data extraction/transformation/uploading.
• Provide summarized technical narratives describing the integrity of automated controls.
• Write data analysis code (Python, Java, or C++).
• Identify areas for process standardization and automate audit/applications tools.
• Support Embed DA data strategy with risk assessment, audit planning and reusable tools.

Skills

SQL

Python

Java

C++

ETL

Data Blessing

Statistics

Communication

Tableau

SAS/SPSS/R

Education

Bachelor's in Computer Science / Math / Statistics

Tools

Tableau

Spotfire

QlikView

SAS

SPSS

R

Job description

The Goldman Sachs Group's Internal Audit team in New York seeks a seasoned Data Scientist to join the Embed Data Analytics group. You will build data-driven tools to support audit testing, collaborate with audit teams, and translate complex data into actionable insights that strengthen the firm's control environment.

Requirements include 8+ years in data science, strong SQL, Python, Java, ETL, and visualization tools.