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Business Analyst IV

2 months ago


Phoenix, Arizona, United States Bank of America Full time

Job Summary:

This role is responsible for performing complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards.

Key Responsibilities:

  • Apply knowledge of multiple business and technical-related topics to drive strategic improvements, large-scale projects, and initiatives.
  • Work with business counterparts within the Line of Business and partner organizations, including Risk and Product teams.
  • Lead efforts to rebuild the 1st and 3rd party fraud loss forecasts, provide loss performance updates and commentary for loss packages, outline and communicate the drivers of the forecasts, and partner with key stakeholders to understand recent trends, initiatives, and issues that impact the forecasts.
  • Perform 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.
  • Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics.
  • Identify business trends based on economic and portfolio conditions and communicate findings to senior management.
  • Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics-based insights.
  • Provide short and long-term loss forecasting in addition to analysis on both historical and projected 1st and 3rd party fraud loss performance.
  • Develop, evaluate, and recommend new methods to improve forecasting accuracy.
  • Develop/build fraud forecast models leveraging inputs and drivers to improve accuracy.
  • Ability to interpret financial results, extracting trends to provide valuable insights to the business and senior management.
  • Assist in providing ongoing financial support to the product and loss finance teams.
  • Identify and lead initiatives to continuously improve, automate, and scale forecasting processes and methodologies.
  • Partner/collaborate with finance and key stakeholders on the communication of forecast drivers, impacts, loss performance, and reconciliation.
  • Prepare, distribute, and consolidate weekly, monthly, quarterly fraud loss packages.
  • Identify and implement improvements with recurring monthly reporting and adhere to all deadlines.

Requirements:

  • Bachelor's degree in Finance, Accounting, Economics (or related discipline).
  • 5+ years of fraud experience and/or 5+ years of analytical/financial experience (Payment card/Retail Bank Finance background preferred).
  • Outstanding quantitative, critical thinking, and analytical skills.
  • Confidence with finance and accounting concepts.
  • Ability to work with and communicate effectively with others, demonstrate leadership, and possess strong interpersonal skills.
  • Ability to communicate and interact with a high degree of professionalism with executive-level personnel across the business.
  • Ability to present, lead, support, and influence senior management and business stakeholders.
  • Innovation mindset with the ability to challenge the status quo.
  • Leadership and management skills, including development of teams and individuals.
  • Ability to prioritize and handle multiple projects at the same time.
  • Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines.

Preferred Qualifications:

  • MBA or graduate-level work in finance, accounting, and/or business management is preferred.
  • 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.
  • Experience leading teams.
  • Strong financial knowledge and understanding of fraud loss drivers.
  • Strong knowledge of programming language (i.e. SAS or SQL) and experience with e-Ledger and Enterprise GL tools (EPM).

Skills:

  • Analytical Thinking.
  • Business Analytics.
  • Data and Trend Analysis.
  • Fraud Management.
  • Problem Solving.
  • Collaboration.
  • Innovative Thinking.
  • Monitoring, Surveillance, and Testing.
  • Presentation Skills.
  • Risk Management.
  • Data Visualization.
  • Interpret Relevant Laws, Rules, and Regulations.
  • Issue Management.
  • Oral Communications.
  • Written Communications.