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.

Bank of America is committed to ensuring fair and consistent treatment for Consumer and Small Business remediation efforts. To drive enterprise wide consistency & accuracy, the Remediation team provides ‘in house’ remediation for impacts to Bank of America (the Bank)’s customers. Remediation consists of dedicated resources with expertise to manage the end-to-end execution of ongoing and one-time remediation efforts.

The Remediation Team performs customer remediation for the following products:
• U.S. Consumer Card
• U.S. Consumer Checking
• U.S. Consumer Savings
• U.S. Small Business Checking
• U.S. Small Business Savings
• U.S. Small Business Card
• Consumer Finance (Gold Option/Gold Reserve)

The primary function of this role will be developing code and providing oversight to automated queries within the team.  A strong knowledge of SAS Enterprise Guide application is required.  This role will need to perform analysis including development, testing and implementation of SQL / SAS code at a more complex level to identify transactions and account updates meeting the Remediation effort (defect / audit issue) for products supported by the team.   Must also demonstrate strong experience with MS Office products such as Outlook, Excel. Duties primarily include the regular use of discretion and independent judgment

Responsibilities:

Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputsPerforms 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 performanceLeads coordination of the production of product performance reports and updates for senior management

Required Skills:

 

• 3+ years of SQL/SAS Coding experience.       
• Several years of strategic analysis and/or related experience.

• Advanced Excel proficiency.
• Product and Product SOR - Prior knowledge and experience with Consumer (card/deposit) and Small Business (card/deposit) products including types of fees, payment applications, interest calculation, rewards, statements.  
• Ability to navigate in customer SOR (TSYS, Impact/BOSS, Rewards SuperStation) to confirm and research transactions.
• Technical Skills – Working knowledge of SAS Enterprise Guide application, SQL Server, Sasgrid, and JAMS Client. Additional systems include Java, CSS, PowerShell, Visual Studios 2017, Horizon, and Python. Knowledge of databases including Teradata, W, Hadoop database structures including table organization, ability to identify key fields and data.    
• Analytic Skills - Strong analytic skills including ability to analyze data to drive differentiated performance. Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy).
• Initiative – Drive the business to keep up with the latest technological strategies by taking initiative to make process improvement and implement automation where necessary. Intellectually curious and willing to dive into complete issues\problems and solve.
• Organizational Skills - Ability to manage multiple projects in a complex and rapidly changing environment while maintaining high time management balance.
• Communication skills - Ability to present the data and communicate effectively (verbal and written) when presenting to executive level leadership. Includes the talent to translate complex quantitative concepts into common-sense terms and thinking.   
•Partnering Skills -Ability to work independently as well as part of a team. Intellectually curious and willing to dive into complete issues\problems and solve.
• Business Process/Acumen – Advanced understanding of the businesses they support and the front-to-back impact of their processes. Comprehension of multiple product lines with product knowledge.

 

Desired Skills:

 

• Regulations – Knowledge of regulations impacting customer remediation (i.e., Reg Z, Reg B, Reg CC, Reg E, UDAAP).
• Remediation Processes - Ability to review existing remediation code and implement with minimal parameter changes.                      

• Familiarity with Remediation processes and tools (Fee Refund and Waiver Application).                                                                                                                         

• Proven history of applying creativity & logic to solve problems
• Experience with Python and usage of more advanced analytical, visualization and data extraction tools

Skills:

Business AnalyticsBusiness IntelligenceData Quality ManagementFraud ManagementMonitoring, Surveillance, and TestingCollaborationData VisualizationOral CommunicationsProblem SolvingWritten CommunicationsAnalytical ThinkingCritical ThinkingData and Trend AnalysisInnovative ThinkingResearch

Shift:

1st shift (United States of America)

Hours Per Week: 

40