Internal Audit-Data Analytics, Data Engineer Vice President

An onsite opportunity in New York for a Senior Vice President focused on Internal Audit Data Analytics and Data Engineering. This role centers on building data driven analytical tools and partnering with audit teams to improve audit testing efficiency while increasing visibility into the firm’s control environment. The position offers a salary range of USD 100,000 to 250,000 per year, along with a comprehensive benefits package.

Responsibilities

• Handle database related work including data modeling, data engineering, data governance, and entitlement maintenance.
• Gather and manage project specific requirements and deliver results that support auditors in sample selection, control gap identification, data source completeness, and data integrity via data blessing.
• Develop production ready analytics to automate repeatable IA processes using Tableau, Spotfire, or QlikView.
• Execute defined data analysis tasks and ETL activities for structured and unstructured data.
• Conduct data analysis supported by summarized technical narratives describing the integrity of automated controls.
• Write data analysis code using Python, Java, or Slang.
• Identify opportunities to standardize processes and introduce automation in audit and data analytics applications.
• Contribute to Embed DA data strategy within audit duties, covering risk assessment, audit planning, reusable tool creation, and innovative problem solving.
• Collaborate with audit teams to identify business risks, drive strategic data sourcing, and deliver innovative solutions to enhance audit testing efficiency and effectiveness.
• Build and maintain strong relationships and clear communications with Audit team members.

Requirements

• 8+ years of experience with a bachelor’s degree in Computer Science, Math, 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 and entitlement models.
• Proficiency in programming languages such as Python, Java, or C++.
• Fundamental statistics knowledge including descriptive statistics, data distribution models, time series analysis, correlation, and regression, and their application to data.
• Strong team player with excellent written and oral communication skills and the ability to manage multiple tasks.
• Active contributor to the Data Science team and the development of analytical capabilities for Internal Audit.
• Driven, proactive, and focused on continuous performance improvement.

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
• Assess the firm’s control culture and conduct risks
• Monitor management’s implementation of control measures

Opportunity overview

• Corporate title: Vice President
• Office location: 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 methods (linear/logistic regression, SVM, random forest, boosting, clustering, pattern recognition)
• Experience with SAS, SPSS, and R for analytics
• Experience with visualization tools such as Tableau, Spotfire, or QlikView is a plus
• Creativity and initiative to improve processes and deliver practical value to the department