Consumer Product Strategy Analyst IV - Credit Abuse and First Party Fraud

Bank of America•Newark, NJ

8h•Onsite

About The Position

At Bank of America, the role supports Responsible Growth and the company’s efforts to foster an inclusive, collaborative workplace and help teammates build successful careers. The company has an in-office culture, with expectations and flexibility based on role responsibilities and business needs. This job performs complex analysis to mitigate credit abuse and first-party fraud in Consumer and Small Business Credit Card portfolios. The analyst applies knowledge across business and technical topics and independently drives strategic improvements, large-scale projects, and initiatives. The role works with business counterparts in the Line of Business and partner organizations, including Risk and Product teams. It also involves analyzing financial models, market and portfolio data, identifying trends, communicating findings to senior management, and supporting major projects through advanced reporting and analytics. The position is based at one of the listed locations in Westlake Village, California, or Belfast, Maine. It is a first-shift role with a 40-hour workweek. The stated annual pay range is $95,000 to $142,000, with offers based on experience, education, and skill set. The role is eligible for an annual discretionary incentive plan and benefits, including paid time off and employee resources and support.

Requirements

At least 5 years of related work experience demonstrating proven analytical ability.
Expertise manipulating database software and analytical/reporting tools such as Python, SAS, SQL, and Tableau.
Strong working knowledge of processes and tools used to develop, validate, implement, and document scoring toolkits.
Ability to document and defend model-related topics to stakeholders, including senior leadership.
Strong understanding of credit risk strategies, financial drivers, and credit operations, with proven problem-solving skills.
Excellent verbal and written communication skills, particularly technical writing, and strong organizational skills.
Proficiency in Microsoft Office applications, including Excel, PowerPoint, and Word.
Effective project management and organizational skills, with the ability to collaborate, manage, and expand relationships across the organization and with all levels of management.
Ability to work as a decisive, client-focused, creative, strategic team player and thoughtful risk-taker in a fast-paced, dynamic environment.
Motivation to use data to derive trends, detect risks, and execute strategy projects.

Nice To Haves

At least 4 years of experience using database software and analytical/reporting tools such as SAS, SQL, or DB2 to access large relational data.
Expertise identifying, assessing, and mitigating risk with models; familiarity with model risk management practices and regulatory frameworks.
Prior experience with credit or fraud strategies and knowledge of policies for consumer and/or small business lending.
Analytic work experience supporting consumer or small business lending involving scoring toolkits.
Prior experience in the payments industry.
Previous credit experience and knowledge of credit policies and procedures.
Previous experience developing credit risk strategies or models.
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 a related field.

Responsibilities

Perform 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.
Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics.
Identify business trends based on economic and portfolio conditions and communicate findings to senior management.
Support execution of large-scale projects, such as platform conversions or new project integrations, through advanced reporting and analytics-based insights.
Work with business counterparts within the Line of Business and partner organizations, including Risk and Product teams.
Independently drive strategic improvements, large-scale projects, and initiatives aimed at mitigating credit abuse and first-party fraud.