Data Analytics Job Vacancies At Goldman Sachs

Qualifications

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.

Job Description & Responsibilities:

Goldman Sachs is 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.

• 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

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.