Internal Audit – Data Analytics, Embedded DA - Associate

What We Do
Internal 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 measures

 

Goldman 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 engineering

Who We Look For

Goldman 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

 In 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 same

 

Your Impact

As 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.

Responsibilities

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 testingExecute on DA 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 problemsBuild production ready analytical tools to automate repeatable and reusable processes within IABuild and manage relationships and communications with Audit team members

Basic Qualifications

3+ years of experience with a minimum of bachelor’s in computer science, Math, or StatisticsExperience with RDBMS/ SQLProficiency 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 performance

Preferred Qualifications

Experience with Advanced data analytics tools and techniquesWell versed with Python/SQL Coding Familiarity 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 (Spotfire, QlikView or Tableau) is a plusCreativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to departmentExposure to Financial Industry Investment/Retail or Commercial Baking is a plus 

About Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment, consumer and commercial banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.