Consumer Product Strategic Analyst IV-2

Bank of America•Jacksonville, FL

5d•Onsite

About The Position

At Bank of America, the Consumer Product Strategic Analyst performs complex analysis to improve portfolio risk, profitability, performance forecasting, and operational performance for consumer and business lending. The role applies knowledge across business and technical topics and independently drives strategic improvements, large-scale projects, and initiatives. It works with business counterparts within the Line of Business and partner organizations, including Risk and Product teams. The analyst develops and implements governed statistical analyses, scoring solutions, and AI-related tools; evaluates credit risk and portfolio performance; and communicates findings and recommendations to senior leaders and other stakeholders. The position is a first-shift role, scheduled for 40 hours per week. Bank of America describes an in-office culture, with flexibility based on role responsibilities and business needs.

Requirements

At least 7 years of experience in financial services, risk management, fraud, or risk/marketing analytics.
Bachelor’s or master’s degree in a quantitative discipline; listed fields include mathematics, statistics, computer science, engineering, economics, or finance.
Advanced proficiency in Python, SAS, Tableau, AI tools, and related analytical platforms.
Strong credit-risk analytics expertise, including evaluating originations, default, prepayment, collateral recovery, portfolio trends, and risk-reward tradeoffs.
Ability to develop, document, defend, and implement analytical strategies independently, including governance requirements and change control.
Excellent executive communication and technical-writing skills.
Strategic, collaborative, self-directed leadership and strong project-management skills.
Solid working knowledge of statistical and/or financial modeling and analysis, and the ability to apply it to business data and strategies.
Understanding of financial terms and calculations such as IRR, ROE, ROA, RAS, RANIM, and RAM.
Strong coding ability in SAS and Python, and expertise in MS Office products.
Ability to manipulate and analyze large, complex datasets and solve problems efficiently while managing other deliverables.
Planning and process-management skills, including independently managing several projects at once and completing them within guidelines and timelines.
Leadership skills in managing quantitative teams.
Strong written and verbal communication skills and ability to influence across functional areas and organizational levels.
Ability to interpret relevant laws, rules, and regulations with guidance and apply them to strategy solutions.
Issue-management skills, including issue identification.

Nice To Haves

Master’s degree in a related field.
Advanced quantitative and financial analytics expertise, including statistical, risk, and financial modeling, scoring toolkits, and evaluation of IRR, ROE, ROA, RAS, RANIM, RAM, and related performance measures.
Experience with AI prompting and analytical or reporting tools.
Credit, fraud, and model-risk experience, including identifying and mitigating model risk, applying model-risk management practices and regulatory frameworks, and developing credit-risk strategies for consumer and small-business lending.
Knowledge of consumer or small-business credit policies, procedures, and operations.
Payments-industry experience.

Responsibilities

Analyze portfolio risk, profitability, performance forecasting, and operational performance for consumer and business lending.
Drive strategic improvements, large-scale projects, and initiatives independently.
Develop, document, defend, and implement analytical strategies, including assumptions, limitations, conclusions, recommendations, and governance requirements.
Document requirements, conduct testing, define implementation success metrics, and complete necessary change control.
Analyze originations, default, prepayment, collateral recovery, portfolio trends, and risk-reward tradeoffs.
Work with business counterparts and partner organizations, including Risk and Product teams.
Translate complex analytical findings into clear recommendations for senior leadership and other stakeholders.
Identify emerging risks, manage relationships, and deliver projects within established timelines and guidelines.