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Bank of America

Consumer Credit New Account Strategy Analyst IV

Bank of America, Newark, New Jersey, us, 07175

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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 an 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. Bank of America is committed to an in‑office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role‑specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical‑related topics and independently driving strategic improvements, large‑scale projects, and initiatives. Job expectations include working with business counterparts within the Line of Business and partner organizations including Risk and Product teams.

The Consumer Credit New Account Strategy Analyst will be responsible for developing and managing core acquisition strategies for Consumer Card products, specifically focusing on Invitation to Apply (ITA) strategy. This role requires the ability to lead multiple complex analytical projects simultaneously, translate data‑driven insights into actionable recommendations, and apply creative problem‑solving to achieve strategic objectives. The analyst will leverage advanced analytical techniques to drive targeted outcomes and maintain robust credit strategy controls. Proficiency in SQL and SAS is essential, along with experience in managing and analyzing large datasets. The role also involves developing custom reporting tools to monitor strategy performance and identify opportunities for enhancement. Success in this role requires strong communication and influencing skills, with the ability to engage effectively with stakeholders across Finance, Credit Risk, Product, Legal, and Compliance. The analyst is expected to develop deep business and technical acumen and demonstrate initiative in independently driving strategic improvements.

Responsibilities 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 Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical‑related topics Identifies business trends based on economic and portfolio conditions and communicates findings to senior management Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights Designing and implementing acquisition strategies in collaboration with cross‑functional teams. Partnering with Credit Risk Modeling to support model development and validation. Presenting strategic recommendations and project outcomes to senior leadership and Risk Governance. Coordinating with Business Enablement and Operations to ensure seamless strategy implementation.

Required Qualifications Proven analytical ability as demonstrated through 5+ years related work experience Expertise manipulating database software and analytical/reporting tools, such as Python, SAS, SQL, Tableau Strong working knowledge of the process and tools used for development, validation, implementation and documentation of scoring toolkits Passionate self‑starter who is highly motivated to help the organization achieve its goals and thrives in fast‑paced and highly dynamic environment Must be decisive, a team‑player, client focused, creative, strategic, and be a thoughtful risk‑taker Excellent verbal and written communication skills, particularly technical writing and organizational skills Ability to effectively document and defend model‑related topics to a variety of key stakeholders, including senior leadership A passion for learning and using data to derive trends, detect risks, and execute strategy projects Demonstrates a strong understanding of credit risk strategies, financial drivers, and credit operations with proven problem‑solving skills Proficient in MS Office applications (Excel, PowerPoint, and Word) Effective project management and organizational skills; ability to collaborate, manage, and expand relationships across the organization and with all levels of management

Desired Qualifications 4+ years experience using database software and analytical/reporting tools, such as SAS, SQL, DB2 to access large relational data Expertise in identifying, assessing and mitigating risk with models. Familiarity with best demonstrated model risk management practices and proficiency in regulatory frameworks Prior experience with credit or fraud strategies and knowledge of policies for consumer and/or small business lending Analytic work experience in support of consumer or small business lending involving the use of scoring toolkits Prior experience in the Payments Industry Previous Credit experience and knowledge of Credit policies and procedures is desirable Previous experience in developing credit risk strategies or models preferred Analytic work experience in support of consumer or small business lending Bachelor’s degree in mathematics, statistics, computer science, engineering, economics, finance, or a related quantitative discipline Master’s degree in Mathematics/Statistics, Economics, Engineering or related field

Skills Analytical Thinking Business Analytics Data and Trend Analysis Fraud Management Problem Solving Collaboration Innovative Thinking Monitoring, Surveillance, and Testing Presentation Skills Risk Management Data Visualization Interpret Relevant Laws, Rules, and Regulations Issue Management Oral Communications Written Communications

Shift 1st shift (United States of America)

Hours Per Week 40

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