Job Description:

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!

Job Description:
This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing 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, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.

Responsibilities:

• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs

• 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

• Leads coordination of the production of product performance reports and updates for senior management

Required Qualifications:

• 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

• 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)

Desired Qualifications:

• Bachelor\'s degree in Finance, Accounting, Economics (or related discipline)

• MBA or graduate level work in finance, accounting, and/or business management is preferred

• 2+ years of fraud experience and/or  2+ years of analytical /financial experience

• 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 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

Skills:

• Business Analytics

• Business Intelligence

• Data Quality Management

• Fraud Management

• Monitoring, Surveillance, and Testing

• Collaboration

• Data Visualization

• Oral Communications

• Problem Solving

• Written Communications

• Analytical Thinking

• Critical Thinking

• Data and Trend Analysis

• Innovative Thinking

• Research

Shift:

Hours Per Week: