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.