Goldman Sachs is looking for the position of Internal Audit Analyst – Data Analytics in Hyderabad; Bengaluru, India. Candidates with Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Goldman Sachs |
| Position | Internal Audit Analyst – Data Analytics |
| Qualifications | Bachelor’s Degree |
| Batch | 2018/ 2019/ 2020/ 2021/ 2022/ 2023 |
| Experience | 1 – 3 (Years) |
| Location | Hyderabad; Bengaluru, India |
Key Responsibilities:
- Implement Data Analytics (DA) strategies developed by Internal Audit (IA) management, focusing on audit planning, creating analytical tools, and delivering innovative solutions to complex problems.
- Collaborate with audit teams to identify risks associated with business operations, facilitate strategic data sourcing, and develop innovative solutions to enhance the efficiency and effectiveness of audit testing.
- Develop and deploy production-ready analytical tools to automate repeatable and reusable processes within Internal Audit.
- Build and maintain strong relationships and effective communication channels with audit team members.
Eligibility Criteria:
- 1-3 years of experience with a minimum of a Bachelor’s degree in Computer Science, Mathematics, or Statistics.
- Experience with relational database management systems (RDBMS) and SQL.
- Proficiency in programming languages, particularly Python, with familiarity in text analytics and natural language processing (NLP) using Python.
- Knowledge of basic statistics and statistical modeling.
- Understanding of time series analysis, correlation, regression, and predictive modeling, along with their application to data.
- Strong team player with excellent written and oral communication skills, capable of conveying relevant and important information clearly and concisely, while managing multiple tasks.
- Active contributor to the Data Science team, helping to build analytical capabilities for the Internal Audit Division.
- Driven, motivated, and proactive in seeking ways to improve performance.
Preferred skills:
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning algorithms and experience with supervised and unsupervised learning methods, such as Linear/Logistic Regression, SVM, Random Forest, and Boosting, as well as clustering and pattern recognition techniques.
- Experience with visualization tools like Spotfire, QlikView, or Tableau is a plus.
- Creativity and innovation, with the ability to devise new ways to improve current processes and develop practical solutions that add value to the department.
About Company:
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
