Internal Audit - Embedded Data Analytics - Associate

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.

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

3+ years of experience with a minimum of bachelors 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

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, ie, ability to create new ways to improve c