Consumer Product Strategic Analyst IV

Bank of America

. Perform complex analysis to improve portfolio risk, profitability, performance forecasting, and operational performance for consumer and business lending .

Posted 10/16/2026full-timeUnited StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python, SAS, and Tableau for complex financial and risk analytics, with a strong focus on credit-risk analytics and model-risk management. Proven ability to independently drive strategic improvements and effectively communicate complex findings to senior leadership.

Highest-signal resume keywords

Advanced Proficiency In PythonCredit-Risk Analytics ExpertiseStatistical And Financial ModelingProject Management SkillsStrong Executive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Financial AnalyticsRisk ManagementData ManipulationAnalytical Strategy DevelopmentStatistical AnalysisScoring ToolkitsRisk-Reward TradeoffsPortfolio TrendsAI ToolsModel-Risk Management

Soft Skills

Relationship ManagementCommunication SkillsCollaboration SkillsPlanning SkillsProcess Management

Tools & Technologies

SASPythonTableauMS OfficeAnalytical/Reporting Tools

Industry Keywords

Financial ServicesFraud AnalyticsConsumer LendingSmall-Business LendingRegulatory Frameworks

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Perform complex analysis to improve portfolio risk, profitability, performance forecasting, and operational performance for consumer and business lending
Apply knowledge of multiple business and technical topics
Independently drive strategic improvements, large-scale projects, and initiatives
Work with business counterparts within the Line of Business and partner organizations, including Risk and Product teams
Manipulate data and develop governed statistical analyses, scoring solutions, or AI-related tools
Develop, document, defend, and implement analytical strategies
Translate complex findings into clear recommendations for senior leadership and stakeholders
Identify emerging risks and deliver improvements in a fast-paced environment

Requirements

What you’ll need

7+ years of experience in financial services, risk management, fraud or risk/marketing analytics
Bachelor’s or master’s degree in a quantitative discipline
Advanced proficiency in Python, SAS, Tableau, AI tools, and related analytical platforms
Strong credit-risk analytics expertise, including originations, default, prepayment, collateral recovery, portfolio trends, and risk-reward tradeoffs
Ability to independently develop, document, defend, and implement analytical strategies
Ability to document requirements, testing, implementation success metrics, and change control
Excellent executive communication and technical-writing skills
Strong project-management, relationship-management, risk-identification, and delivery skills
Advanced quantitative and financial analytics expertise
Experience with statistical, risk, and financial modeling, scoring toolkits, and IRR, ROE, ROA, RAS, RANIM, and RAM
Strong technical proficiency in SAS, Python, AI Prompting, MS Office, and analytical/reporting tools
Experience with large, complex relational datasets
Credit, fraud, and model-risk experience
Knowledge of model-risk management practices, regulatory frameworks, and consumer or small-business lending strategies
Consumer or small-business credit policy, procedure, and operations knowledge
Proven leadership and project-management capability as a sole contributor
Ability to manage multiple concurrent projects and meet established timelines
Strong communication, collaboration, influence, planning, and process-management skills
Credit Risk and Fraud Detection skills
Ability to interpret relevant laws, rules, and regulations and apply them to strategy solutions
Minimum education requirement: High School Diploma / GED / Secondary School or equivalent

Benefits

Comp & perks

Affordable, competitive, and flexible benefits
Support for teammates’ physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
In-office culture supporting collaboration, engagement, and career development
Full-time employment
40 hours per week
1st shift