Consumer Product Strategy Analyst IV - Consumer Card Acquisition

Bank of America•Westlake Village, CA

1d•$95,000 - $142,000•Onsite

About The Position

At Bank of America, the role supports the company’s purpose of helping make financial lives better through its clients, teammates, communities, and shareholders. The company emphasizes responsible growth, an inclusive and caring workplace, career development, and an in-office culture that supports collaboration, engagement, and professional growth, with flexibility based on role responsibilities and business needs. The Consumer Product Strategy Analyst IV leads the development, execution, and ongoing optimization of cash flow underwriting strategies that use alternative data sources to improve credit risk assessment and lending decisions. The role develops customer segmentation frameworks using cash flow analytics, transactional data, and other non-traditional risk indicators to balance growth and profit-and-loss objectives. It partners with others to design, implement, and operationalize underwriting strategies across acquisition channels; monitors strategy performance; evaluates test-and-control results; and identifies opportunities to improve risk differentiation, approval rates, portfolio performance, and customer outcomes. The analyst presents data-driven insights, strategic recommendations, and underwriting performance results to senior leadership and cross-functional business partners to influence credit risk and growth decisions. The role performs complex analysis of financial models, market and financial data, and portfolio trends to improve product performance, portfolio risk, profitability, forecasting, and operations. It also coaches and mentors peers, serves as a subject matter expert, identifies trends based on economic and portfolio conditions, communicates findings to senior management, and supports large-scale projects through advanced reporting and analytics insights.

Requirements

At least 4 years of experience in credit risk, underwriting, strategy, analytics, or related fields.
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 for developing, validating, implementing, monitoring, and documenting credit risk models and scoring frameworks.
Self-motivated and intellectually curious, able to thrive in a fast-paced, dynamic environment and deliver meaningful business results.
Strategic thinking, sound judgment, a collaborative mindset, strong client focus, and ability to balance innovation with prudent risk management.
Exceptional verbal and written communication skills, including the ability to translate complex analytical concepts into clear, actionable business insights.
Knowledge of credit risk management, underwriting strategies, financial performance drivers, and credit operations, together with strong problem-solving capabilities.
Proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word.
Strong project management and organizational skills, including the ability to build relationships, influence stakeholders, and collaborate across organizational levels.
Minimum education requirement: High school diploma, GED, secondary school, or equivalent.

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 in identifying, assessing, and mitigating risk through analytical models, with an understanding of model governance, model risk management principles, and applicable regulatory frameworks.
Experience developing, managing, or supporting credit risk, fraud, or underwriting strategies in consumer and/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 the 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.
Analyze 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, including platform conversions or new project integrations, through advanced reporting and analytics-based insights.