INTERNAL AUDIT

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. Our group has unique insight on the financial industry and its products and operations. We’re looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm’s operations and control processes.

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
1-4 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

WHO WE ARE

The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high-net-worth individuals. The firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Bangalore, Hong Kong and other major financial centers around the world.

Divisional