Presentation Title
Managing Payroll Risk with Data Analytics
Speaker(s)
Michelle Slocum- Senior Manager in the Armanino Risk Assurance Advisory
Claire Koch- Manager in the Armanino Data Automation and Transformation group
Date
Friday, February 27, 2026
Time
8:00 am – 9:00 am
- Registration 7:30 – 8:00
- Breakfast 7:45
- Presentation 8:10-9:00
Location – IN PERSON
Temporary location for this meeting only: Credit Union of Colorado, 8959 E 40th Ave, Denver, 80238
About the Speaker(s)
Michelle Slocum
Michelle Slocum is a Senior Manager in the Armanino Risk Assurance Advisory practice, where her primary area of expertise includes assessing and testing internal controls, evaluating processes and working with management to develop recommendations for improvement. Complimenting her 13 years of internal auditing experience, Michelle also has expertise within the hospital and healthcare industry. Michelle’s work experience includes performance of financial, operational, and regulatory internal audits utilizing the guidelines of the Institute of Internal Auditors. She also incorporates data analytics within projects to maximize value for her clients.
Claire Koch is a Manager in the Armanino Data Automation and Transformation group with 8 years of experience helping organizations turn complex data into actionable insights. She specializes in internal audit and payroll analytics, compliance monitoring, and data‑driven process improvement across an assortment of industries. Claire leverages tools like ACL, Python, and Power BI to deliver efficient, technology‑enabled solutions that align people, processes, and systems for lasting results.
Program Description
This session provides an in-depth look at payroll risk and how internal auditors can leverage data analytics to identify, assess, and mitigate potential issues within the payroll process. Attendees will gain insights into common payroll risk areas, practical analytics techniques, and how a payroll analytics suite can improve risk visibility, strengthen controls, and support continuous monitoring.
CPE Credit
1.0 Hours
Delivery Method
Group Live
Recommended field of study
NASBA – Specialized Knowledge non-technical/ACFE – Data analysis and reporting tools
Program knowledge level:
Basic
Prerequisite education and experience:
None
Advanced preparation:
None
Meeting cost and registration fees:
Non-members – $45 ($55 on or after February 25, 2026)
Full members – $35 ($45 on or after February 25, 2026)
Student members – FREE
Refund policy/cancellation policy
Cancellations must be received by 5:00 pm two days before the meeting. (Using the same example as above, you must cancel by Tuesday prior to the Friday meeting)
If you are unable to attend the meeting, please feel free to substitute an associate or friend in your place. If you are a member and your guest is not, your guest will be charged the difference between the member and guest fees.
NO SHOWS: If you RSVP but don’t attend the meeting, you will not be eligible for a refund. We have to pay our caterers for all who RSVP, whether they attend or not. Thanks for understanding. We will waive this requirement only for verifiable emergencies.
To cancel your attendance, email training@cocfe.org. Please indicate the meeting that you will not be attending.
If you have any comments, suggestions, or complaints, please contact us at Training@cocfe.org
