Fraud Analytics and Innovation Senior Analyst (digital Fraud and Scams)

Bank of America Bank of America · Banking · Newark, NJ +8

This role focuses on developing and implementing strategies to minimize fraud loss exposure and negative customer impacts within a financial institution. It involves complex data analysis, modeling, and the application of machine learning technologies to assess fraud risk and create mitigation strategies. The role also supports biometrics capabilities and project scope leadership for fraud requirements and testing.

What you'd actually do

  1. Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
  2. Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met
  3. Evaluates data to assess potential fraud risk and creating mitigation strategies
  4. Proposes policy/procedural changes within segmentation structures to produce optimal results
  5. Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs

Skills

Required

  • 2+ years of analytical experience
  • 1 year experience with 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

Nice to have

  • Analytical experience with Payment card /Retail Bank
  • 3+ years of fraud experience
  • Bachelors 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

What the JD emphasized

  • complex analysis
  • strategy development
  • fraud risk
  • mitigation strategies
  • machine learning technology

Other signals

  • fraud detection
  • machine learning technology
  • strategy development