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 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 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 testing
• 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
• 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

• 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
• Well versed with Python/SQL Coding 
• 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
• Exposure 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.