Senior Associate – Internal Audit Data Analytics

This role will support and perform audits of varied technologies and processes in support of the strategic goals of the audit function using data analytics. The Data Analytics Senior Associate is responsible for proactively identifying key audit risks, including providing analytical fieldwork to the engagement teams, developing and maintaining effective relationships and supporting management in achievement of their goals.

Responsibilities:

• 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.
• Evaluate data quality issues and identify potential exceptions or inefficient practices for root causes and propose advice and recommendations for achievable solutions.
• Apply risk-based analytics to identify potential audit areas and/or samples.
• 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.
• Ability to understand professional principles and standards related to audit and analytics (e.g., IIA IPPF, ISO 20546) and the relevancy to the company's data environment and operations.
• Keeping current on best practices and emerging analytics activities within the financial services industry and making recommendations for improvements as necessary.
• Supporting effective relationships and partnerships with the internal audit team, business groups, and management.

Qualifications:

• 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.
• Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.
• 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).
• Consulting and/or accounting firm experience.
• Experience in Financial Services/Security Industry and working within a regulated environment.
• Microsoft Office applications
• Familiarity with scripting tools such as: Python, SQL, Windows Scripting Host
• Familiarity with analytical tools such as: Tableau, Alteryx, Pandas
• Familiarity with databases such as: Oracle, DB2, MS SQL
• Familiarity with cloud-based solutions: AWS, Azure, Oracle Cloud, Workday
• Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software
• Bachelor's degree (or equivalent) in Analytics, Statistics, Mathematics, Information Technology, Data Management, or related field.
• 5 years of experience (audit-related)
• Masters degree in Data Science, Statistics or similar field
• Experience developing data analytics or related projects, technology workflows (e.g., scripting, data transformation, etc.)

Certificates or Licenses:

• Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.