Internal Audit-Data Strategy - Analyst

Location: Prakāshamnagar

Goldman Sachs Internal Auditors demonstrate a strong risk, control and analytical mindset, exercise
professional skepticism and challenge status quo on risks and control measures effectively with
management. We look for individuals who enjoy learning about audit, businesses, and processes,
have innovative and creative mindset in adapting analytical techniques to enhance audit function,
develop teamwork and build relationships and are able to evolve and thrive in a fast-paced global
environment.
Embedded - Data Analytics
In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the
reliability of financial reports, monitoring the firm s compliance with laws and regulations, and
advising management on developing smart control solutions. Embed Data Analytics team leverages
its programming and analytical capabilities to build innovative data driven solutions. The team works
closely with auditors to understand their pain points and develop data-centric solutions to address
the same.
Your Impact
As part of the third line of defense, you will be involved in independently assessing the firm s overall
control environment and its effectiveness as it relates to current and emerging risks and
communicating the results to local/ global management. In doing so, you will be supporting the
provision of independent, objective and timely assurance around the firm s internal control structure,
thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their
oversight responsibilities.
We are looking for a strong data scientist, passionate about using data to challenge the norm, to join
our Embed Data Analytics team. The candidate will work closely with the audit teams to build
innovative and reusable analytical tools that will help make audit testing more efficient and provide
meaningful insights into firm s control environment.
Responsibilities
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
Basic Qualifications
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, 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

Preferred Qualifications

Experience with advanced data analytics tools and techniques
Strong experience in RDBMS/ SQL and Data Warehousing.
Exposure to ETL Processes and Data Engineering.
Experience in implementing Data Quality measures and entitlement models
Familiarity in programming languages such as Python.
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
Self-driven and motivated to take up initiatives to improve our processes.