Analyst IV -  Fraud Forecasting & Reporting Analyst

Bank of America - Charlotte, NC

Full-time - Mid Level

Charlotte, NC

Credit Intermediation and Related Activities

About the position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Responsibilities

• 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.
• 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.

Nice-to-haves

• 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).

Benefits

• Competitive benefits to support physical, emotional, and financial well-being.