Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures. In doing so, internal Audit: Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving ris... more details
Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures.
In doing so, internal Audit:
- Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk
- Raise awareness of control risk
- Assesses the firm’s control culture and conduct risks; and
- Monitors management’s implementation of control measures
Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm’s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering
Who We Look For
Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering.
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
RESPONSIBILTIES
• 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
QUALIFICATIONS
• 4-6 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
• Driven and motivated and constantly taking initiative to improve performance
PREFERRED QUALIFICATIONS
• Experience with Aadvanced data analytics tools and techniques
• Well versed with Python/SQL Coding
• Understanding of GitLab and Software development Lifecycle (SDLC)
• Background knowledge and hands-on experience working on cloud based services such as Amazon S3 and Snowflake
• Understanding of Banking products and services such as Savings, Deposits, and Credit Cards
• Familiarity with Ttext analytics and NLP using python
• 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
• Exposure to Financial Industry Investment/Retail or Commercial Baking is a plus
Salary Range
The expected base salary for this New York, New York, United States-based position is $85000-$140000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
