Internal Audit - Embedded Data Analytics, Associate
The Goldman Sachs Group, Inc. is a leading global investment 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. We commit people, capital and ideas to help our clients, shareholders and the communities we serve to grow.
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.
WHAT WE LOOK FOR
Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical skills, exercise professional skepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, building relationships, and are able to evolve and thrive in teamwork and in a fast-paced global environment.
YOUR IMPACT
As the third line of defense, Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, and risk management and capital and anti-financial crime frameworks, 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.
- Raises awareness of control risk.
- Assesses the firm’s control culture and conduct risks.
- Monitors management’s implementation of control measures.
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 the 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.
SKILLS AND RELEVANT EXPERIENCE
- 3-6 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 the Data Science team and help build analytical capabilities for the Internal Audit Division.
- Driven and motivated and constantly taking initiative to improve performance.
- 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 the department.