The Senior Auditor - Data Analytics (Consultant) will be responsible for the following: Leverage current and emerging enterprise technologies to progress RRG’s data analytics strategy to advanced stages of RRG’s maturity model. Leverage existing enterprise meta data repositories and assist in the development of RRG documentation on data sources to facilitate locating, accessing, understanding and analyzing data. Evaluate centralized and decentralized data sources and provide feedback to the Data Analytics Manager with supporting recommendations and implementation strategies. Partner with Key Technology & Operations personnel to identify efficient means of harvesting data for analysis as well as emerging tools and technologies. Thoroughly understand the objectives of audit teams to creatively identify/define analytics that can improve the efficiency and effectiveness of audits. Act as an internal consultant to various RRG teams, providing expert knowledge of company systems, processes and associated data. Assist audit teams throughout the data acquisition process to ensure that the requirements for scoped analytics are met within reasonable timeframes. Design and evolve methods to integrate the use of data analytics into risk reviews, risk universe scoring, risk indicators, annual planning, continuous monitoring, and continuous auditing. Assist in the development of the standard toolkit for data mining and data analytics that generally utilizes Google Cloud Platform BigQuery or Python. Analyze and develop visualization and reporting solutions utilizing Tableau or Power BI. Promote the use of a data quality framework to 1) demonstrate the accuracy of data used by RRG for data analytics and 2) provide the criteria for RRG to evaluate the accuracy of data used for regulatory and management reporting. Assist management in enforcing new standards and methodologies that enhance the data analytics strategy and framework. Stay abreast of evolving utilization, best practices, and trends in the use of data analytics for internal audit, credit, operational and other risk areas within large banks. Stay informed on regulatory expectations for the use of data analytics in banks. Keep RRG management apprised of trends and evaluation of RRG adoption in relation to trends and expectations.
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Career Level
Mid Level