Goldman Sachs-posted 4 months ago
Dallas, TX
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

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. Our people are our greatest asset - we say it often and with good reason. It is only with the determination and dedication of our people that we can serve our clients, generate long-term value for our shareholders and contribute to the broader public. We take pride in supporting each colleague both professionally and personally. From collaborative workspaces and ergonomic services to wellbeing and resilience offerings, we offer our people the flexibility and support they need to reach their goals in and outside the office.

  • 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.
  • 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 Data Science team and help build analytical capabilities for 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 department.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service