Consumer Product Strategy Analyst IV - Consumer Card Acquisition

Bank of America•Charlotte, NC

6d•Onsite

About The Position

At Bank of America, the Consumer Product Strategy Analyst IV will lead the development, execution, and ongoing optimization of cash flow underwriting strategies that use alternative data to improve credit risk assessment and lending decisions. The role develops customer segmentation frameworks using cash flow analytics, transaction data, and other non-traditional risk indicators to balance growth and profit-and-loss objectives. The analyst partners with others to design, implement, and operationalize underwriting strategies across acquisition channels. The role monitors strategy performance, evaluates test-and-control results, and identifies ways to improve risk differentiation, approval rates, portfolio performance, and customer outcomes. It also presents data-driven insights and strategic recommendations to senior leaders and cross-functional partners to inform credit risk and growth decisions. Responsibilities also include complex analysis of financial models, market and portfolio data, coaching and mentoring peers, identifying business trends, communicating findings to senior management, and supporting large-scale projects through advanced reporting and analytics. The position is based at one of the listed Bank of America locations and is assigned to first shift, 40 hours per week. Bank of America describes an in-office culture with role-specific flexibility based on responsibilities and business needs.

Requirements

At least 4 years of experience in credit risk, underwriting, strategy, analytics, or a related field.
Advanced proficiency in data extraction, manipulation, and analysis using tools such as Python, SQL, SAS, Tableau, and other reporting and visualization platforms.
Strong understanding of methodologies, governance, and tools used to develop, validate, implement, monitor, and document credit risk models and scoring frameworks.
Demonstrated knowledge of credit risk management, underwriting strategies, financial performance drivers, and credit operations.
Proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word.
Strong verbal and written communication skills, including the ability to translate complex analytical concepts into clear, actionable business insights.
Strong problem-solving, project management, and organizational skills, with the ability to build relationships, influence stakeholders, and collaborate across organizational levels.
Strategic thinking, sound judgment, a collaborative mindset, strong client focus, and the ability to balance innovation with prudent risk management.
Ability to work effectively in fast-paced, dynamic environments and a demonstrated interest in using data and analytics to inform strategic decisions.

Nice To Haves

At least 4 years of experience using SQL, SAS, DB2, or similar technologies to access, transform, and analyze large-scale relational datasets.
Expertise identifying, assessing, and mitigating risk through analytical models, with knowledge of model governance, model risk management principles, and applicable regulatory frameworks.
Experience developing, managing, or supporting credit risk, fraud, or underwriting strategies in consumer or small business lending.
Analytical experience supporting consumer or small business lending decisions using predictive models, risk segmentation techniques, and scoring frameworks.
Strong understanding of consumer credit policies, underwriting practices, and risk management processes.
Experience developing, validating, implementing, or optimizing credit risk models and underwriting strategies.
Ability to use data and analytics to evaluate portfolio performance, identify opportunities, and drive data-informed business decisions.
Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or another quantitative discipline.
Master's degree in Mathematics, Statistics, Economics, Business, Engineering, Data Science, or a related field.

Responsibilities

Lead development, execution, and ongoing optimization of cash flow underwriting strategies using alternative data sources.
Develop customer segmentation frameworks using cash flow analytics, transactional data, and other non-traditional risk indicators to balance growth and profit-and-loss objectives.
Partner with others to design, implement, and operationalize underwriting strategies across acquisition channels.
Monitor underwriting strategy performance, evaluate test-and-control results, and identify opportunities to improve risk differentiation, approval rates, portfolio performance, and customer outcomes.
Present data-driven insights, strategic recommendations, and underwriting performance results to senior leadership and cross-functional business partners.
Perform complex analysis of financial models, market data, financial data, and portfolio trends to improve product performance, portfolio risk, profitability, forecasting, and operational performance.
Coach and mentor peers to improve proficiency in systems and serve as a subject matter expert on business and technical topics.
Identify business trends based on economic and portfolio conditions and communicate findings to senior management.
Support large-scale projects, such as platform conversions or new project integrations, through advanced reporting and analytics-based insights.