Goldman Sachs is looking for the position of Internal Audit Analyst – Data Analytics in Hyderabad, India. Candidates with Bachelor’s/ Master’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/ Master’s Degree |
| Batch | 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | 1 – 3 (Years) |
| Location | Hyderabad, India |
Key Responsibilities:
- Execute the Data Analytics (DA) strategy developed by Internal Audit (IA) management, focusing on audit planning, development of analytical tools, and delivering innovative solutions to complex problems.
- Collaborate with audit teams to identify business risks, facilitate strategic data sourcing, and design innovative solutions to enhance the efficiency and effectiveness of audit testing.
- Develop and implement production-ready analytical tools to automate repeatable and reusable processes within Internal Audit.
- Establish and maintain strong relationships and effective communication with Audit team members.
Eligibility Criteria:
- Bachelor’s degree in Computer Science, Mathematics, or Statistics with 1–3 years of relevant experience.
- Hands-on experience with relational database management systems (RDBMS) and proficiency in SQL.
- Proficient in Python programming, with familiarity in text analytics and Natural Language Processing (NLP) using Python.
- Strong understanding of basic statistics and statistical modeling techniques.
- Knowledge of time series analysis, correlation, regression, and predictive modeling with practical application to data analysis.
- Excellent communication skills, both written and verbal, with the ability to convey key insights clearly and handle multiple tasks effectively.
- Proven ability to work as a strong team player while contributing to the development of analytical capabilities within the Internal Audit division.
- Highly motivated and proactive, consistently taking initiative to enhance performance and outcomes.
Preferred skills:
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning algorithms, including supervised and unsupervised learning methods such as Linear/Logistic Regression, Support Vector Machines (SVM), Random Forest, and Boosting.
- Knowledge of clustering techniques and pattern recognition methods.
- Experience with data visualization tools such as Spotfire, QlikView, or Tableau.
- Demonstrated creativity and innovation, with the ability to improve existing processes and develop practical, value-adding solutions.
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.
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