Vice President – Internal Audit Data Analytics

Vice President – Internal Audit Data Analytics

Requirements

• Bachelor’s or Master’s degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field
• At least 5+ years in data analytics within Internal Audit preferably within the wealth management, asset management or banking industry
• Strong SQL skills required, along with programming experience in Python or R, experience of any other scripting languages (VBA, PowerShell, etc.)
• Working experience of any Business Intelligence tool (PowerBI, Tableau) is preferred
• Experience with both structured and unstructured data as well as experience with Data Warehousing (e.g. Snowflake), Extract Transform and Load (ETL)
• Hands on experience on techniques like text analytics, web scraping, Selenium, N-Gram analysis, Sentiment Analysis, etc. is preferred
• This professional needs to have a strong understanding/ability to quickly learn of business processes, risks, and controls to enhance audit efficiencies and effectiveness through the development and delivery of audit data analytics
• Team player with project management skills, delivered timely with high quality results and have attention to detail along with analytical and problem-solving skills
• Strong interpersonal and communication skills (verbal, written, and listening)

Responsibilities

• Support audits end-to-end by cleaning, analysing, and visualizing data to identify potential risks, assess compliance with regulations, and provide valuable insights to auditors
• Collaborate closely with business, technology and data teams, and internal risk partners to support the objectives of the Internal Audit function
• Ensure audits are executed efficiently, with a focus on data-driven insights and solutions
• Demonstrate key leadership behaviors to foster a thriving, high-performance environment
• Guide technical direction in audit execution space, lead and contribute to multi-year projects, mentor less experienced specialists, and provide insights that influence long-term strategic decisions
• Develop code to execute audit tests, build tools, and/or execute data centric activities supporting the department and ensure that all code is properly documented and maintained
• Contribute to the strategic development of the DA program including the design and implementation of tools and technologies, development, delivery, and distribution of data analytics presentations, training, and methodology
• Propose alternative and creative approaches to audit testing, leveraging technology to either gain efficiencies or provide additional coverage
• Facilitate discussions with audit stakeholders and demonstrate quick understanding of risk, controls and the data analytics solutions that can be offered to support audit objectives
• Participate in short term data analysis activities aimed at supporting audit delivery and/or other ad-hoc requests including closure verification of issues, regulatory inquiries, strategic initiatives
• Networking to cultivate strong relationships with firm-wide partners to ensure successful analytic activities such as retrieval of new data sets, learning technology architecture, troubleshooting, etc.

Preferred Qualifications

• Experience with any Business Intelligence tool (PowerBI, Tableau) is preferred
• Hands on experience on techniques like text analytics, web scraping, Selenium, N-Gram analysis, Sentiment Analysis, etc. is preferred