Goldman Sachs-posted 3 months ago
$110,000 - $143,000/Yr
New York, NY
5,001-10,000 employees

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. Cultivate data analytics best practices and understandings through communication and trainings sessions with global audit teams. Utilize Python, SQL, and Tableau to develop high quality data analytics reporting and automation to improve operational efficiency and reduce manual audit testing. Grow subject matter expertise in cross-divisional auditable areas, such as Compliance & Legal and Risk audit. 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.

  • Execute on Data Analytics strategy within the context of audit responsibilities.
  • Partner with audit teams to identify risks associated with businesses.
  • Facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing.
  • Cultivate data analytics best practices through communication and training sessions with global audit teams.
  • Utilize Python, SQL, and Tableau to develop high quality data analytics reporting and automation.
  • Grow subject matter expertise in cross-divisional auditable areas.
  • Create Continuous Monitoring reporting for quarterly check-ins between auditors and stakeholders.
  • Ensure excellent code quality in production through thorough code review.
  • Discover and assist in the on-boarding of datasets from across the firm.
  • Provide analysis and design strategies for strategic projects.
  • Bachelor’s degree 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.
  • Experience with statistics concepts, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with visualization tools such as Tableau or Qlik.
  • Knowledge of text analytics and NLP using Python.
  • Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning techniques.
  • Utilizing SQL to perform ad-hoc analysis for audit testing.
  • Experience with engineering methodologies (Git, CI/CD, Agile) and SDLC best practices.
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