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May 2018 Dinner Meeting
May 15 @ 6:00 pm - 8:00 pm$40 – $75
Demystifying Fraud Analytics
Fraud can occur in any organization, of any size, in any location. With increasing economic pressures and new technologies (both known and unknown), there will always be new opportunities and incentives to commit fraud by unscrupulous individuals, which may detract from your organization’s missions or goals. Ignoring the threat of fraud, whether external or internal, is not an option. Data analytics, as it applies to detecting fraud, refers to the use of specialized software tools and organizational data, together with applied human intelligence, to identify and respond to trends, patterns, or anomalies which indicate fraud.
Nathan Orien is a manager in KPMG’s Federal Forensics practice where he advises clients on strengthening their anti-fraud and compliance programs and controls. He specializes in the prevention, detection, deterrence, and investigation of financial fraud, corruption, and misconduct, with an emphasis on data analytics, which involves the identification and investigation of inconsistencies, anomalies, and red flags within large sets of financial data.
Rachel Beam is an Associate in KPMG’s Federal Advisory Services Practice, specializing in forensic and fraud risk management (FRM) services, internal control identification and evaluation, and compliance with federal laws and regulations. She currently assists the Chief Risk Officer of a federal agency to conduct historical lookbacks to identify egregious and pervasive fraud schemes; evaluate existing antifraud efforts and determine FRM maturity; increase stakeholder awareness of fraud, waste and abuse; design and enhance more effective antifraud controls; and oversee and report adherence with the Fraud Reduction and Data Analytics Act.
- Appetizer: Crispy Zucchini Fritté
- Salads: Caesar and Maggiano’s
- Pastas: Baked Ziti & Sausage & Four-Cheese Ravioli
- Entrée: Chicken Piccata
- Dessert: Chocolate Zuccotto Cake
Objectives: By the end of the presentation, participants will have an understanding of the benefits and challenges of using data analytics in detecting fraud, identify common fraud schemes that may be detected using data analytics, and articulate leading skills, methodologies, and tools needed to effectively detect fraud.
Program Level: Basic
Instructional Delivery Method: Group
CPE: 1 Credit Hour
Administration Policies: E-mail Kelly Salter (firstname.lastname@example.org) or Shannon Kuehn (email@example.com) with any questions or special dietary requirements. Please notify us of any food allergies.
For questions regarding meeting cancellations due to inclement weather, contact Kelly Salter or Shannon Kuehn after 2PM on the day of the event.
Official National Registry Statement
The Accounting & Financial Women’s Alliance is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: https://www.nasbaregistry.org/.