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Bank of America

Runs a US consumer bank, brokerage and investment bank

Consumer Product Strategy Analyst 4 - Consumer Card Acquisition

Quantitative RiskConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrated analytical expertise through 4 or more years of experience in credit risk, underwriting, strategy, analytics, or related fields.
  • Advanced proficiency in data extraction, manipulation, and analysis using Python, SQL, SAS, Tableau, and other reporting and visualization platforms.
  • Strong understanding of the methodologies, governance, and tools used to develop, validate, implement, monitor, and document credit risk models and scoring frameworks.
  • Strategic thinking, sound judgment, a collaborative mindset, strong client focus, and the ability to balance innovation with prudent risk management.
  • Ability to translate complex analytical concepts into clear, actionable business insights through verbal and written communication.
  • Knowledge of credit risk management, underwriting strategies, financial performance drivers, and credit operations, complemented by problem-solving capabilities.
  • Proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word.
  • Strong project management and organizational skills, with the ability to build relationships, influence stakeholders, and collaborate across all levels of the organization.
  • Minimum education requirement is a high school diploma, GED, secondary school credential, or equivalent.

Responsibilities

  • Lead the development, execution, and ongoing optimization of cash flow underwriting strategies leveraging alternative data sources to enhance credit risk assessment and lending decisions.
  • 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 through continuous optimization.
  • Present data-driven insights, strategic recommendations, and underwriting performance results to senior leadership and cross-functional business partners, influencing key credit risk and growth decisions.
  • 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, by conducting advanced reporting and drawing analytics-based insights.

Desired Qualifications

  • Four or more years of experience leveraging 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 a strong understanding of model governance, model risk management principles, and applicable regulatory frameworks.
  • Experience developing, managing, or supporting credit risk, fraud, or underwriting strategies within consumer and/or small business lending environments.
  • Analytical experience supporting consumer or small business lending decisions through 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-driven 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.

About the Company

Bank of America

Runs a US consumer bank, brokerage and investment bank

Bank of America runs one of the largest US banks, serving consumers, small businesses, wealthy families, corporations and institutional investors. Alongside checking accounts, credit cards, mortgages and business loans, it owns the Merrill brokerage, a private bank for wealthy clients and a global investment bank that advises on deals and trades stocks and bonds. Customers reach it through thousands of branches and ATMs and its mobile banking app. It earns money mainly from the gap between what it charges on loans and pays on deposits, plus fees from advice, asset management, deal work and trading. It grew from a San Francisco bank founded in 1904 and is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1904

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