Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance
10,000+ employees
Founded 1931
💰 Post-IPO Equity on 2014-01
September 15
Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance
10,000+ employees
Founded 1931
💰 Post-IPO Equity on 2014-01
• Adapts communication techniques for audiences at multiple internal/external levels, developing key storyline messaging and articulating a clear point of view, taking into account the perspective of all related stakeholders • Supports the fraud consultants team in providing fraud technical data analysis, insights and thought leadership to drive the execution of FRRM strategies • Impacts the development and advancement of key fraud strategies for the enterprise, contributing to the build of the fraud data mart and driving outcomes for high value fraud scenario analysis • Proactively anticipates potential issues/roadblocks and develops preventative measures through partnership with business, technology, and risk areas • Leads fraud investigations and technical analysis of fraud incidents that are cross-functional and impactful across multiple areas and stakeholders; assists with the development and execution of fraud incident response and analysis to detect, alert, contain, and document fraud incidents and root cause analyses • Contributes to the control program’s fraud technical analytics strategy • Leads fraud technical data and tooling work, identifying data, tools, and coding languages that can bring efficiencies or needed techniques to solve fraud problems and improve effectiveness of fraud risk and return decisions through the use of data and analytics • Leads control remediation efforts and reporting/analyses support for the fraud consultants, utilizing a multidisciplinary approach combining technical expertise with analytics and comprehensive business experience • Leverages technical fraud expertise (quantitative, qualitative, and fraud trend data) to draw conclusions, with a primary objective of preventing and detecting fraud across Allstate and the Family of Companies
• 4 year Bachelors Degree (Preferred) • 3 or more years of experience (Preferred)
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