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 risk Raise awareness of control risk Assesses the firm's control culture and conduct risks; and Monitors management's implementation of control measures

　　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.

　　Who We Look For

　　Goldman Sachs Internal Auditors demonstrate a strong risk, control and analytical mindset, exercise

　　professional skepticism and challenge status quo on risks and control measures effectively with

　　management. We look for individuals who enjoy learning about audit, businesses, and processes,

　　have innovative and creative mindset in adapting analytical techniques to enhance audit function,

　　develop teamwork and build relationships and are able to evolve and thrive in a fast-paced global

　　environment.

　　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

　　Execute 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 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 production ready analytical tools to automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members

　　Basic Qualifications

　　1-3 years of experience with a minimum of Bachelor's in Computer Science, Math, or Statistics Experience with RDBMS/ SQL Proficiency 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 data Strong 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 tasks Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division Driven and motivated and constantly taking initiative to improve performance

　　Preferred Qualifications

　　Experience with advanced data analytics tools and techniques Familiarity with text analytics and NLP using python Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniques Experience with analytical/ statistical programs such as SAS, SPSS, and R Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department

　　ABOUT GOLDMAN SACHS

　　At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

　　We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

　　We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

　　© The Goldman Sachs Group, Inc., 2023. All rights reserved.

　　Goldman Sachs is an equal employment/affirmative action employer