Goldman Sachs & Co. LLC is looking to execute on a Data Analytics strategy within the context of audit responsibilities, aiming to improve risk assessment, audit planning, create reusable tools, and provide innovative solutions to complex problems. The goal is to increase the efficiency and effectiveness of audit testing through data analytics.
Requirements
- programming languages, such as Python, Java, or C++
- visualization tools, such as Tableau or Qlik
- text analytics and NLP using python
- machine learning algorithms and exposure to supervised and unsupervised learning techniques including Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering, and Patterns Recognition
- utilizing SQL to perform ad-hoc analysis for audit testing, such as determining a population or re-performance
- engineering methodologies (Git, CI/CD, Agile) and SDLC best practices
- statistics concepts, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data
Responsibilities
- Execute on Data Analytics strategy 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 identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing.
- Utilize Python, SQL, and Tableau to develop high quality data analytics reporting and automation to improve operational efficiency and reduce manual audit testing.
- Create Continuous Monitoring reporting for quarterly check-ins between auditors and stakeholders.
- Ensure excellent code quality in production, by performing high-quality and thorough code review and adhering to engineering best practices.
- Discover and assist in the on-boarding of datasets from across the firm, sourced from multiple cloud or on-prem databases.
- Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.
Other
- Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Data Analytics, Information Technology, Industrial Engineering, Operations Research, or a related field
- three (3) years of experience in the job offered or in a related role
- Cultivate data analytics best practices and understandings through communication and trainings sessions with global audit teams.
- Grow subject matter expertise in cross-divisional auditable areas, such as Compliance & Legal and audit.
- Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
