Internal Audit-Data Analytics, Data Engineer Vice President

Goldman Sachs; New York (NY); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Holiday & Vacation Policies

Financial Wellness & Retirement

Health Services

Fitness

Child Care & Family Care

Benefits at Goldman Sachs

Job summary

Goldman Sachs seeks a Senior Vice President to spearhead data analytics within Internal Audit in New York. You will blend data engineering with audit testing to drive efficiency and visibility into the firm’s controls, building production-grade tools and collaborating with audit teams to source data and standardize processes.

The role emphasizes turning complex data into practical audits, with strong programming, governance, and RDBMS expertise.

Qualifications

• 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.

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.
• 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.

Skills

Leadership

Communication

Collaboration

Self-motivation

Problem-solving

Education

Bachelor's degree in Computer Science/Math/Statistics

Tools

RDBMS

SQL

Python

Java

C++

Tableau

Spotfire

QlikView

Slang

SAS

SPSS

R

Job description

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