*****THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****

What You'll Do:

The role will support and perform audits of varied technologies and processes, with a special focus on AI systems and related infrastructure. This position will leverage data analytics and AI techniques to enhance the audit function's capabilities in support of the strategic goals of the audit function. The Senior Associate is responsible for proactively identifying key audit risks, providing analytical fieldwork to engagement teams, developing AI-assisted audit methodologies, and supporting management in achieving their goals.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

Responsibilities will be aligned, but not limited, to three pillars:
Delivery

• Support the Internal Audit Department on feasibility analysis and delivery of assigned audits using advanced data analytics and AI-assisted techniques
• Evaluate data quality issues and identify potential exceptions or inefficient practices, proposing achievable solutions;
• Support the Internal Audit Department, both audit engagement and internal data analytics teams, on feasibility analysis and the delivery of assigned audits using data analytics;  
• Support the Internal Audit Department, both audit engagement and internal data analytics teams, providing a professional auditee experience;
• Owning the quality, accuracy of results, and delivery of analytics in a timely manner;
• Assess the design and operating effectiveness of controls around AI systems, machine learning models, and related infrastructure;
• Apply risk-based analytics to identify potential audit areas and/or samples. 

Quality

• Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating engagement teams accordingly on the proper use of data analytics and how to best leverage it in audits;
• Maintain understanding of policies, procedures, standards, and supporting technologies related to AI governance and responsible AI practices;
• Ability to understand professional principles and standards related to audit and analytics (e.g., IIA IPPF, ISO 20546) and the relevancy to OCC’s data environment and operations;
• Create and refine AI prompts to enhance audit procedures and testing methodologies;
• Keeping current on best practices and emerging analytics activities within the financial services industry and making recommendations for improvements as necessary.

Leadership

• Supporting effective relationships and partnerships with the internal audit team, business groups, and management;
• Educate audit teams on AI concepts, risks, and appropriate audit approaches.

Supervisory Responsibilities:

• None

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required.  Reasonable accommodation may be made to enable individuals with disabilities to perform the primary functions.

• Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions;
• Strong problem solving and analytical capabilities;
• Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports;
• Proficiency in writing effective AI prompts to extract meaningful insights from data;
• Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.

Experience

• Experience working in a complex, fast-paced environment;
• Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA);
• [Preferred] Consulting and/or accounting firm experience;
• [Preferred] Experience in Financial Services/Security Industry and working within a regulated environment.

Technical Skills:

• [Required] Microsoft Office applications;
• [Required] Familiarity with one or more scripting tools such as: Python, SQL, R;
• [Required] Familiarity with analytical tools such as: Tableau, Alteryx, Pandas;
• [Required] Familiarity with testing, documentation and versioning tools (e.g., pyTest, Github, pyDoc or similar);
• [Required] Understanding of AI/ML concepts, including prompt engineering, model evaluation, and respons