Internal Audit-Data Analytics -New York-Vice President

What We DoInternal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures. In doing so, internal Audit:Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving riskRaise awareness of control riskAssesses the firm’s control culture and conduct risks; andMonitors management’s implementation of control measuresGoldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm’s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineeringWho We Look ForGoldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. Data AnalyticsIn Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm’s compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the sameYour ImpactAs part of the third line of defense, you will be involved in independently assessing the firm’s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm’s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities.We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm’s control environment.ResponsibilitiesPerform Database related activities – Data Modeling, Data Engineering, Data Governance, and maintenance of Entitlements.Obtain/Manage requirements that are tailored to each audit project and provide the results that can be used to provide insight to auditors in terms of sample selection, control gap identification, completeness of data sources, and data integrity (i.e., Data Blessing)Build production ready analytical tools to automate repeatable and reusable processes within IA using reporting tools such as Tableau, Spotfire or QlikViewExecute elected data analysis activities. Such activities may be defined as procedural or programmatic tasks related to the analysis, extraction, transformation, and uploading of data (structured and unstructured) (i.e., ETL processes). Perform Data analysis activities that may also be supplemented by summarized technical narratives describing the integrity of specific automated controls. Write data analysis code (e.g., Python, Java, or Slang) Identify areas for process standardization and implement automation techniques in applications used for audit process and Data AnalyticsExecute on Embed DA - Data strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems.Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing.Build and manage relationships and communications with Audit team membersBasic Qualifications8+ years of experience with a minimum of bachelor’s in computer science, Math, or StatisticsStrong experience in RDBMS/ SQLExposure to ETL Processes, Data Engineering and Data GovernanceExperience in implementing Data Blessing/Data Quality measures and entitlement modelsProficiency in programming languages, such as Python, Java, or C++Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to dataStrong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasksStrong contributing member of Data Science team and help build analytical capabilities for Internal Audit DivisionDriven and motivated and constantly taking initiative to improve performancePreferred QualificationsExperience with advanced data analytics tools and techniquesFamiliarity with text analytics and NLP using pythonFamiliarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniquesExperience with analytical/ statistical programs such as SAS, SPSS, and RExperience with visualization tools (Tableau, Spotfire or QlikView) is a plusCreativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to departmentSalary Range The expected base salary for this New York, NY, United States-based position is $100000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end. Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here. Posting Date: 2026-09-08