Synchrony - Rapid City, SD

posted 16 days ago

Full-time - Senior
Remote - Rapid City, SD
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.
  • Provide deep analytics to drive advanced targeting strategies.
  • Prepare and present client-facing and leadership team presentations.
  • Collaborate with Lowe's Asset protection teams to share emerging risks and trends.
  • Work closely with Lowe's on new platform launches to limit/address emerging risks.
  • Oversee fraud chargebacks and ensure procedural guidance is upheld.
  • Execute, monitor, and drive process improvement of existing fraud strategies.
  • Drive enhanced strategies using champion/challenger leanings to manage fraud risk.
  • Provide clear guidance on risk appetite and prudent growth.
  • Maintain and develop reporting and ad-hoc analytics with SAS, Tableau and other data tools.
  • Engage with cross functional fraud leaders to identify industry trends and new scores to leverage.
  • Drive and influence across leadership levels regarding initiatives and results.

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

  • Natural curiosity and passion to drive change in consumer banking.
  • Advanced programming with SAS, R or Python.
  • Experience analyzing large data sets to derive strategic 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.

Benefits

  • Annual bonus based on individual and company performance.
  • Flexible work options including remote work and office attendance.
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