Jobs · Business Development · Texas

Fraud Analytics and Innovation Senior Analyst - Digital Fraud Strategies

Bank of America · Plano, TX · 5 days ago
Business DevelopmentFull-time

Key Responsibilities

  • Utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational databases to provide analytical support on strategies.
  • Ensure goals are met and propose policy/procedural changes within segmentation structures to produce optimal results.
  • Evaluate data to assess potential fraud risk and create mitigation strategies.
  • Support Emerging Risk Fraud Strategies primarily in Digital products; Zelle/Wires/BillPay.
  • Create fraud strategies and ensure proper risk controls are deployed adhering to best practices.
  • Provide recommendations on mitigation efforts, ensuring monitors are in place, and self-create initiatives as needed.
  • Conduct defect reviews of third-party fraud loss cases to identify any gaps in Fraud strategy or procedural adjustments.
  • Track and optimize strategy performance on a recurring basis.
  • Develop and validate fraud variables utilized in strategies.
  • Participate in project management where candidate would be responsible for providing fraud requirements, testing, and developing strategies.
  • Includes network mandates, Product team support, and internal projects.

Required Qualifications

  • 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card / Retail Bank background preferred)
  • Proficient in SAS/SQL and Excel
  • Strong quantitative, critical thinking, and analytical skills
  • Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
  • Ability to work independently as well as part of a virtual team
  • Innovative mindset with the ability to challenge the status quo
  • Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines

Desired Qualifications

  • Bachelor's degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
  • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
  • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
  • Proven strong analytical and communication skills

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