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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

The Global Payment Operations (GPO) organization delivers global wire transfers and ACH payments for internal and external bank clients and supports end-to-end payment execution and investigations for transactions initiated through various channels. The team also provides sanctions screening on transactions for multiple products, in accordance with policies established by the Global Economic Sanctions Compliance team.

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
• Leverage data analytics tools and techniques to analyze large datasets, identify patterns, and uncover indicators of payment fraud activity. Develop preventative rules/strategies to mitigate fraud attempts
• Prepare regular reports including key performance indicators, trends, and recommendations for improvement
• Serve as a subject matter expert on the technical workings of our fraud and payment infrastructure, assisting numerous teams and stakeholders to help them interact effectively with the fraud analytics space

Required Qualifications:

• 2+ years of SAS/SQL coding experience
• Intermediate data science skills
• Ability to interact effectively and build relationships with business partners at all levels
• Experience with Excel and other applications to support large data aggregation and management
• Ability to create trend reports and discuss anomalies with cross functional teams
• Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
• Strong analytical, logical reasoning, problem solving skills, including selection of data and deployment solutions
• Excellent communication and presentation skills

Desired Qualifications:

• Advanced SAS/SQL coding ability
• Experience in the financial services industry
• Fraud background
• Understanding of advanced data analytics and modeling techniques
• Functional knowledge of multiple products and/or channels (e.g. ACH, Wire, RTP and Electronic Payments)
• Experience presenting to senior leaders

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: