Information Technology Audit Manager

Overview Our client, a Prominent Financial Services Institution , is looking to hire a strong IT Audit Manager to join their Emerging Technology - Data Science team in Dallas. This is a hybrid role that will require some in-office presence as well as ample work from home time. May be open for candidates in the New York Metro Area as well. Responsibilities Responsible for the development of automated technology solutions to assist in assessing the adequacy and effectiveness of risk, controls, and governance processes across the organization. Develop and implement innovative automation projects that provide cutting- edge, digital auditing solutions. Deliver automation capabilities that enhance efficiency and assurance within the corporate audit team. Provide reporting and operational insights and develop action plans to improve the internal control environment. Create and enhance continuous risk assessment and anomaly detection capabilities through the use of advanced data analytics and data mining techniques. Innovate and lead the use of Machine Learning and Artificial Intelligence (ML/AI) to enhance and improve the approach to assurance activities across the organization. Mentor and guide staff members on various audit projects within the team. Requirements Degree BS in Information Systems, Computer Science, Data Science, Cybersecurity, or related field highly preferred. Certifications such as CISA, CISSP, CRISC, and or Cloud Technology and Data Science and Technology highly preferred Minimum of 4 years’ hands-on experience developing Automation / Data Science capabilities within a risk and controls environment. Experience working in an Audit department, with a strong focus on infrastructure/ data analysis or technical area. Experience evaluating risk and making decisions based on hard and soft data. Experience in technology solutions and application development as it relates to the improvement and automation of risk and control processes and sub-processes. Previous leadership experience, managing others on a project basis or on a team Knowledge and experience with some or most of the following: Financial Services industry experience highly preferred.ML/AI algorithms Relational Databases, NoSQL Databases Experience leading/ coaching junior data scientists and automation software engineers highly preferred. Fact-based, data driven approach to understanding and assessing risk with the ability to learn and grow in a fast-paced environment. Strong oral and written communication skills, with the ability to communicate audit and automation goals and value to upper management and stakeholders. #J-18808-Ljbffr