Goldman Sachs is hiring for the post of Internal Audit-Analyst-Data Analytics in Hyderabad. Candidates who are looking for this opportunity can apply for this position before the last of the application. Check eligibility details and application process given below.
Company Name: Goldman Sachs
Job Location: Hyderabad
Job Role: Internal Audit-Analyst-Data Analytics
Experience: 1-3 year's
Employment Type: Full Time
Selection Type: Online
Educational Qualifications: Bachelor's Degree
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Job Responsibilities:
- 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 Qualification's:
- 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
Preffered Qualification's:
- 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
How To Apply:
- Visit the official website/ click on given link below
- Fill all the application details
- Upload the updated Resume
Application Link: APPLY NOW