Vice President, Internal Audit Data Analytics

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$100,000–$250,000 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k
This role $175k
$82k most similar roles pay here $268k

This role pays less than 54% of similar roles. Most pay $152,875–$221,300 — the shaded band above. At the midpoint, this role pays about $175k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 134 open roles on FindRole.

Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.

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At a glance

TL;DR · Vice President, Internal Audit Data Analytics

Internal Audit-Data Analytics -New York-Vice President joins the Embed Data Analytics team as a data scientist to support the firm’s third line of defense. This role involves independently assessing the internal control structure, risk management, and capital and anti-financial crime frameworks while providing assurance to the Board of Directors. You will collaborate with auditors to build innovative, reusable analytical tools that automate repeatable processes and provide insights into the control environment. Key responsibilities include data modeling, engineering, governance, and performing ETL processes on structured and unstructured data. The role requires proficiency in Python, Java, C++, or Slang, along with expertise in SQL, RDBMS, and statistical analysis such as regression and time series. You will also utilize visualization tools like Tableau, Spotfire, or QlikView to solve complex problems and improve audit testing efficiency.

What you'll do

  • Perform database activities including data modeling, engineering, governance, and entitlement maintenance.
  • Manage requirements for audit projects to provide insights on sample selection and control gap identification.
  • Build production-ready analytical tools using Tableau, Spotfire, or QlikView to automate repeatable processes.
  • Execute ETL processes to extract, transform, and upload both structured and unstructured data.
  • Write data analysis code using programming languages such as Python, Java, or Slang.
  • Identify areas for process standardization and implement automation techniques within audit applications.
  • Partner with audit teams to identify business risks and facilitate strategic data sourcing.
  • Develop innovative, reusable tools to increase the efficiency and effectiveness of audit testing.

What we're looking for

  • Minimum of a bachelor’s degree in computer science, Math, or Statistics.
  • 8+ years of experience in the field.
  • Strong experience in RDBMS/SQL.
  • Experience with ETL processes, data engineering, and data governance.
  • Experience implementing Data Blessing/Data Quality measures and entitlement models.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Knowledge of basic statistics including descriptive statistics, time series analysis, correlation, and regression.
  • Strong communication skills to convey relevant information clearly and concisely.
  • Experience with advanced data analytics tools and techniques (preferred).
  • Familiarity with text analytics, NLP, and machine learning algorithms (preferred).
  • Experience with statistical programs such as SAS, SPSS, or R (preferred).
  • Experience with visualization tools like Tableau, Spotfire, or QlikView (preferred).

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