MORE ABOUT THIS JOB:
YOUR IMPACT Are you passionate about using data to challenge the norm?
We are looking for a strong engineer to join our Core Data Analytics team where they will work closely with the audit teams to build tools and platforms that make it easier for the division to perform analytics and gain insight into the firms control environment. OUR IMPACT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firms compliance with laws and regulations, and advising management on developing smart control solutions.
Our group has unique insight on the financial industry and its products and operations.
Were looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firms operations and control processes. The Core Data Analytics team leverage their programming and data skills to build innovative solutions to data problems in Internal Audit.
The team works closely with auditors to understand the pain points users have and develop data-centric products to help solve them. HOW YOU WILL FULFILL YOUR POTENTIAL Work with audit teams and fellow engineers to design self-service data products that enable auditors to more efficiently and effectively work with firm data and identify potential riskDesign and build data pipelines and backend solutions to connect firm data systems and integrate analytics solutionsDevelop strategic solutions to aggregate, analyse and visualize data using a variety of technologiesDevelop web services and web applications to make analytics solutions more accessibleHelp the division understand the tools, approaches and infrastructure available to themAssess data quality to understand potential of data sources, limitations or issues
RESPONSIBILITIES AND QUALIFICATIONS:
BASIC QUALIFICATIONS 3 years experience working in the Engineering or Data Analytics field with preference for experience in Financial ServicesExcellent communication skills (written and oral).
Ability to communicate what is relevant and important in a clear and concise mannerHands-on experience with Java, Python and SQL programming, preferably in Sybase IQ and DB2Hands-on experience applying software development practices including version control, agile/scrum, requirements definition and implementation, testing and build/deploymentDrive and motivation with the ability to handle multiple tasks and take initiative to improve personal performance PREFERRED QUALIFICATIONS Experience developing web applications using Java, Python, Javascript and ReactExperience with DevOps - deploying and running applications using Kubernetes, Gitlab CI/CDKnowledge of data engineering subjects and technologies such as Hadoop, Spark and SparkMLExperience with analytical/statistical/ML programming, particularly within PythonKnowledge of basic statistics (Time Series Analysis, Correlation, Regression) and its application to dataExperience with any visualization tool (Spotfire, Qlikview or Tableau)Creativity/Innovation.
Ability to create new ways to improve current processes and develop solutions that are grounded in reality and have practical value