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.

LOB Job Description:

This role will support Emerging Risk Fraud Strategies primarily in Digital products; Zelle/Wires/BillPay.  Responsible for creating fraud strategies and ensuring proper risk controls are deployed adhering to best practices. Team member will provide recommendations on mitigation efforts, ensuring monitors are in place, self-create initiatives as needed.   Conducting defect reviews of 3rd party fraud loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. Strategy performance tracking and rule optimization on recurring basis.  Team member will also be responsible for developing and validating fraud varaibles utlized in strategies.  Role also include project management where candidate would be responsible for providing fraud requirements, testing, and development of strategies.  The projects includes network mandates, Product team support, and internal projects.    SAS/SQL technical skills required.  Good working experience with Tableau and Python is a plus.

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
• Analyze complex data to provide insights into incoming and loss trends or identify potential problems
• Develop adhoc reporting
• Identify process improvements and efficiencies via data analysis
• Deliver accurate metrics related to fraud and claim activity
• Validate the integrity and quality of data required for performing analysis
• Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.

Required Qualifications:

▪ 3+ years of fraud experience and/or  2+ years of analytical experience (Payment card /Retail Bank background preferred)

▪ Proficient in 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

Desired Qualifications:

▪  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     

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:

1st shift (United States of America)

Hours Per Week: 

40