Goldman Sachs is hiring a Internal Audit-Analyst-Data Analytics for the Bangalore location. Please read the complete information carefully and apply if you are eligible for the Data Analytics Job Opening at Goldman Sachs.
Eligibility Criteria:
Education: Bachelor's in Computer Science, Math, or Statistics Job Location: Bangalore Experience: 1 - 3 Years Skills: Python and RDBMS/ SQL Salary: Up to ₹17L to ₹30L per year(As per Glassdoor)
Responsibilities for Data Analytics Job Opening at Goldman Sachs:
- Execute on DA strategy developed by IA management within the context of audit responsibilities, such as audit planning, creation of analytical 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
Required qualifications, capabilities, and skills:
- 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 and Familiarity with text analytics and NLP using python
- Knowledge of basic statistics and statistical modelling
- Time Series Analysis, correlation, and regression and predictive modelling, 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 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 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
⚠️ Important Note:
This is a direct hiring opportunity – No hidden fees or charges for applying!
About the Company
Goldman Sachs is a leading global investment banking, securities, and investment management firm that provides financial services to corporations, governments, and individuals worldwide, known for innovation and market influence.
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