Internal Audit - Warsaw - Analyst - Data Analytics

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

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
• Well versed with Python/SQL Coding
• Familiarity with Text analytics and NLP using python
• 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 analytical/ statistical programs such as SAS, SPSS, and R
• 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
• Knowledge and experience in developing & using Large Language Models & Generative AI is a plus

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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