Auto Insurance Fraud Intelligence Analyst - General Motors Insurance

etect 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

What makes you an ideal candidate?

• You have a demonstrated ability to look at the "big picture" regarding the auto insurance fraud landscape and provide proactive fraud analytics solutions

• You have strong analytical and problem-solving skills with keen attention to detail

• You are able to work in a rapidly changing start-up environment, building many tools from scratch and/or implementing new vendor tools for the first time

• You are able to work effectively with cross-functional teams and build strong working relationships

• You have demonstrated ability to present complex technical information clearly and concisely to diverse and sometimes non-technical audiences

• You have detailed understanding of how to tailor Verisk/ISO and other fraud detection technology platforms, including AI-based programs, to maximize fraud detection efficiency

• You possess detailed knowledge of how to derive actionable insights from data regarding fraud patterns and trends and can demonstrate data analytics expertise

• You have a strong understanding of digital claim workflows including demonstrated effectiveness in current digital desktop SIU investigation techniques and data analytic methods

• You possess excellent project management skills

QUALIFICATIONS

Experience:

• High School Diploma or equivalent required; Bachelor's Degree preferred

• 3+ years of Special Investigation Unit (SIU) and/or Major Case investigation experience in auto insurance required

• 2+ years of professional business analytics experience required

• 3+ years of medical fraud investigation experience strongly preferred

• 2+ years of experience investigating fraud on California auto insurance claims strongly preferred

License:

• Must be able to obtain Property and Casualty (P&C) or Personal Lines License in at least (1) U.S. State within 30 days of start date

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.

Compensation: Competitive pay and bonus eligibility

Work Life Balance: 100% remote

#LI-CH1 #remote #gmfjobs

The base salary for this role is $61,000 to $116,000.

At GM Financial, we strive for transparency and in all aspects of our business, including pay equity. This is the GM Financial pay range for this role and job level. The exact salary and compensation will vary based on factors like knowledge, skills, experience and education.

This role is eligible to participate in a performance-based incentive plan. Full time employees are eligible to participate in health benefits on day one of employment.