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Fraud Intelligence Analyst II - General Motors Insurance

AT GM Financial
GM Financial

Fraud Intelligence Analyst II - General Motors Insurance

Remote

Overview

Why General Motors Insurance?

At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance. We are fully owned and backed by auto industry leaders General Motors and GM Financial.

This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience.

GM has the largest connected vehicle fleet worldwide. In the US alone, there are currently 9M+ connected GM vehicles on the road and that number is projected to triple in the next 10 years. More than that, the OnStar system currently has access to over 900 data points from the vehicle. This surge in information about vehicles and how they are driven will revolutionize auto insurance. This disruption is backed by the bold GM vision of zero crashes, zero emissions and zero congestion. We are serious about the safety and financial security of our customers.

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This position will be posted until filled.

Responsibilities

The Fraud Intelligence Analyst II (FIA - II) 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 - II 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

  • 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
  • Serve as subject matter resource regarding auto insurance fraud intelligence and analytics
  • Develop dashboards and real-time monitoring systems to track fraud trends and provide actionable insights to leadership
  • Collaborate with policy analysts, claims adjusters, legal team, and leadership to develop and refine fraud detection decision frameworks with effective alert systems
  • 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
  • Assist and consult on claims with red flags, providing desktop investigative assistance
  • Serves as subject matter resource regarding fraud investigations

Qualifications

What makes you a dream candidate?

  • You have advanced understanding of current SIU investigation techniques and data analytic methods, including uses and applications of AI-based programs
  • You have industry knowledge of leading fraud analytics software and uses of various fraud detection products
  • You possess detailed knowledge of how to derive actionable insights from data regarding fraud patterns and trends and can demonstrate data analytics expertise, including use of AI-based programs
  • You have a strong understanding of digital claim workflows
  • You have advanced knowledge of techniques used to detect and investigate fraud through the life cycle of an automobile insurance policy and demonstrated effectiveness in insurance fraud investigations, including evidence collection, interviewing, and reporting
  • You possess solid working knowledge of state and federal regulations related to insurance fraud
  • 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 possess excellent project management skills

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
  • 2+ years of experience using SQL and/or Power BI preferred
  • 2+ years of experience in insurance fraud analytics preferred

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

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Salary

The base salary range for this role is: USD $69,000.00 to $127,400.00. At GM Financial, we strive for transparency 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.

Job ID: GM_Financial-48876
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Mental Health Benefits
    • Fitness Subsidies
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Happy Hours
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
  • Diversity and Inclusion

    • Unconscious Bias Training
    • Employee Resource Groups (ERG)