Synchrony - Alpharetta, GA

posted 16 days ago

Full-time - Senior
Remote - Alpharetta, GA
Credit Intermediation and Related Activities

About the position

The VP, Portfolio Fraud Manager is responsible for driving analytic insights and fraud initiatives for Lowe's credit products. This role involves cross-functional collaboration to design innovative fraud strategies, minimize fraud losses, and enhance customer experience throughout the credit lifecycle. The position requires project management skills and interaction with senior leadership, focusing on communication of results and initiatives across the organization.

Responsibilities

  • Partner closely with Lowe's and Synchrony cross functional fraud teams to optimize strategy & policies to help mitigate fraud risk.
  • Develop and optimize fraud strategies for Lowe's consumer & Commercial portfolios, in collaboration with Synchrony fraud strategy and infrastructure organizations.
  • Prepare and present client facing and leadership team presentations to facilitate informed decisions.
  • Collaborate with Lowe's Asset protection teams to share emerging risks and trends and provide insights on solutions.
  • Oversee fraud chargebacks and ensure procedural guidance is being upheld.
  • Execute, monitor, and drive process improvement of existing fraud strategies for all Lowe's products.
  • Drive enhanced strategies using champion/challenger leanings to manage fraud risk.
  • Maintain and develop reporting and ad-hoc analytics with SAS, Tableau and other data tools to draw conclusions and drive recommendations.
  • Engage with cross functional fraud leaders to identify industry trends and evolving protection to offer Lowe's.
  • Perform other duties and/or special projects as assigned.

Requirements

  • Bachelor's degree and 5+ years in a consumer and/or commercial Fraud/Credit/Risk, Finance, or Analytics role, or 9+ years of experience in lieu of a Bachelor's degree.
  • 3+ years of experience working with statistical tools such as SAS, Model Builder Decision Tree, Knowledge Seeker or others.

Nice-to-haves

  • Advanced programming with SAS, R or Python.
  • Experience analyzing large data sets to derive strategic, actionable credit insights.
  • Experience using multiple Fraud Decision Systems to make fraud strategy decisions.
  • Experience developing Consumer / Commercial Fraud strategies.
  • Ability to conduct advanced data analysis and complex designs algorithm.
  • Experience using advanced modeling & data mining techniques to develop/optimize Fraud strategies.

Benefits

  • Annual bonus based on individual and company performance.
  • Salary adjustments according to market in CA, NY Metro and Seattle.
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