About The Position

General Motors Insurance, backed by GM and GM Financial, is launching an innovative Insurtech venture aimed at transforming the auto insurance industry through connected vehicle data and advanced technology. With access to over 900 data points from more than 9 million connected GM vehicles in the U.S., the company is leveraging this data to support GM’s vision of zero crashes, zero emissions, and zero congestion. This position will be posted until filled. The Auto Insurance Fraud Intelligence Analyst (FIA) will play a critical role in the identification and mitigation of emerging fraud trends targeting General Motors Insurance Company (GMIC) and its platforms. The FIA will leverage advanced intelligence methodologies, data analysis, and investigative techniques to design, implement, and refine models and tools to detect and prevent fraudulent activity across the GMIC ecosystem. About the role Serves as subject matter resource regarding fraud investigations Assist and consult on claims with red flags, providing desktop investigative assistance Drive innovation by integrating advanced AI tools and techniques as well as common vendor tools into claims processes to enhance and advance fraud fighting efforts Consistently and proactively identify gaps in fraud detection systems and recommend solutions to increase efficiency and effectiveness Continuously monitor the performance of fraud analytic models (both GMIC-designed and vendor models) to ensure effectiveness as fraud schemes shift and evolve, modifying models to ensure peak performance and limit false positives Serve as subject matter resource regarding auto insurance fraud intelligence and analytics Analyze intelligence from large datasets to uncover patterns, anomalies, and red flags indicative of fraud Utilize predictive modeling tools to analyze fraud trends and provide insights regarding possible mitigation strategies Collaborate with policy analysts, claims adjusters, legal team, and leadership to develop and refine fraud detection decision frameworks with effective alert systems

Responsibilities

  • Serves as subject matter resource regarding fraud investigations
  • Assist and consult on claims with red flags, providing desktop investigative assistance
  • Drive innovation by integrating advanced AI tools and techniques as well as common vendor tools into claims processes to enhance and advance fraud fighting efforts
  • Consistently and proactively identify gaps in fraud detection systems and recommend solutions to increase efficiency and effectiveness
  • Continuously monitor the performance of fraud analytic models (both GMIC-designed and vendor models) to ensure effectiveness as fraud schemes shift and evolve, modifying models to ensure peak performance and limit false positives
  • Serve as subject matter resource regarding auto insurance fraud intelligence and analytics
  • Analyze intelligence from large datasets to uncover patterns, anomalies, and red flags indicative of fraud
  • Utilize predictive modeling tools to analyze fraud trends and provide insights regarding possible mitigation strategies
  • Collaborate with policy analysts, claims adjusters, legal team, and leadership to develop and refine fraud detection decision frameworks with effective alert systems
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