Bradley Lohmeyer is a Managing Director at Ankura with ten years of experience leading and performing complex data analytics in fraud investigations, and in litigation consulting, business intelligence, and business insurance claims. He combines his education in finance and advanced analytics with his decade of experience in finance, accounting, and enterprise systems to assist clients in developing custom, analytics-based solutions to critical business challenges. He is based in Chicago.
Brad is currently leading several engagements investigating alleged wrongdoing in the financial services sector. For example, for a national insurance underwriter, he is managing an internal investigation into an alleged scheme to generate fraudulent commissions by writing policies without customer authorization. Related to this matter, he is overseeing the identification and analysis of nine years of policy and customer data from several internal sources, blending machine learning with traditional investigative techniques to identify risk and scope remediation.
Additionally, Brad is currently assisting a large investment management firm in evaluating allegations of impropriety by one or more of its portfolio managers. As part of this effort, he collected and analyzed hundreds of millions of trading records spanning several years and trading strategies. The team has presented the client and its external counsel with custom analysis and visualizations of complex trading data, summarizing and contextualizing key facts in a consumable fashion. Along with counsel, Brad will be advising the client on a strategy to address relevant regulatory agencies.
Beginning in early 2009, he worked on behalf of the SIPA Trustee to investigate and unwind the Bernard L. Madoff Investment Securities Ponzi scheme — the largest such fraud in history. To this end, Brad served in several capacities: reconstructing hundreds of millions of trading records to reconcile them with third-party data and confirm solvency and legitimacy; designing and performing various financial red-flag analyses to drive complaints against former investors; and developing visual analytic dashboards to convey nuanced analysis to prepare counsel for settlement and court proceedings.
For a large, multinational retailer, he led the data analytics effort related to planning product assortment for a new store concept. Analyzing hundreds of millions of transactions across several years and thousands of stores, the team presented management with a proprietary financial model recommending the top product selections by merchandise category. Additionally, Brad built a web-based tool enabling client-merchants to choose products, update assumptions, and compare the potential financial impacts of various assortment scenarios.