Internal Audit-Data Analytics, Data Engineer Vice President

Goldman Sachs is seeking a Senior Vice President to lead data analytics within Internal Audit, combining data engineering with audit testing to drive efficiency and deeper visibility into the firm’s control environment. This on-site role in New York emphasizes building production-grade analytical tools and collaborating with audit teams to source data, standardize processes, and deliver actionable insights. The position requires a strong foundation in database design, data governance, and programming, with a focus on turning complex data into practical audits.

Responsibilities

• Handle database activities including data modeling, data engineering, data governance, and maintenance of entitlements.
• Gather and manage requirements for each audit project, delivering outputs that support auditors in sample selection, identifying control gaps, validating data source completeness, and ensuring data integrity (data blessing).
• Build production-ready analytical tools to automate repeatable processes within Internal Audit using reporting platforms such as Tableau, Spotfire, or QlikView.
• Carry out data analysis tasks, which may involve procedural or programmatic ETL activities for structured and unstructured data.
• Conduct data analysis complemented by technical narratives describing the integrity of automated controls.
• Develop data analysis code using languages such as Python, Java, or Slang.
• Identify opportunities for standardization and apply automation to audit processes and data analytics applications.
• Contribute to Embed DA – Data strategy within IA responsibilities, including risk assessment, audit planning, creation of reusable tools, and innovative solutions to complex problems.
• Partner with audit teams to identify business risks, facilitate strategic data sourcing, and devise solutions to enhance audit testing efficiency and effectiveness.
• Maintain strong relationships and communications with audit team members.

Requirements

• 8+ years of experience with a bachelor’s degree in Computer Science, Mathematics, or Statistics.
• Strong experience with RDBMS and SQL.
• Exposure to ETL processes, data engineering, and data governance.
• Experience implementing Data Blessing and Data Quality measures, along with entitlement models.
• Proficiency in programming languages such as Python, Java, or C++.
• Foundational knowledge of statistics including descriptive statistics, data distribution models, time series analysis, correlation, and regression, and their application to data analysis.
• Excellent collaboration and communication skills, capable of conveying relevant information clearly and managing multiple tasks.
• Active contributor to the Internal Audit data science efforts and a driver of analytical capability growth.
• Self-motivated with a proactive approach to improving performance.

Technologies

• RDBMS
• SQL
• Python
• Java
• C++
• Tableau
• Spotfire
• QlikView
• Slang
• SAS
• SPSS
• R

Benefits

• Healthcare & Medical Insurance
• Holiday & Vacation Policies
• Financial Wellness & Retirement
• Health Services
• Fitness
• Child Care & Family Care
• Benefits at Goldman Sachs

What we do

• Communicate and report on the effectiveness of governance, risk management, and controls that mitigate current and evolving risk.
• Raise awareness of control risk across the organization.
• Assess the firm’s control culture and conduct risk, and monitor management’s implementation of control measures.

Opportunity Overview

• Corporate Title: Vice President
• Office Location(s): New York
• Job Function: Data Analytics & Reporting
• Division: Internal Audit
• Salary Range: USD 100,000 - 250,000

Preferred Qualifications

• Experience with advanced data analytics tools and techniques
• Familiarity with text analytics and NLP using Python
• Exposure to machine learning algorithms, including supervised and unsupervised learning (linear and logistic regression, SVM, Random Forest, boosting, clustering)
• Experience with analytical/statistical programs such as SAS, SPSS, and R
• Experience with visualization tools (Tableau, Spotfire, or QlikView) is a plus
• Creativity and innovation, with the ability to improve processes and develop practical, value-added solutions for the department