Consumer Product Strategic Analyst IV-2

Bank of America•Charlotte, NC

7d•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 multiple 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 position is part of Bank of America’s in-office culture, which emphasizes collaboration, engagement, and career development, with role-specific flexibility based on 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; the posting also lists a minimum education requirement of a high school diploma, GED, secondary school, or equivalent.
Advanced proficiency in Python, SAS, Tableau, AI tools, and related analytical platforms for data manipulation and development of governed statistical analyses, scoring solutions, or AI-related tools.
Strong credit-risk analytics expertise, including evaluation of originations, default, prepayment, collateral recovery, portfolio trends, and risk-reward tradeoffs.
Ability to independently develop, document, defend, and implement analytical strategies and meet governance requirements.
Excellent executive communication and technical-writing skills, with the ability to translate complex findings into clear recommendations.
Strategic, collaborative, self-directed leadership and strong project-management skills.
Ability to identify emerging risks, manage relationships, and deliver in a fast-paced environment.
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 Microsoft Office products.
Ability to manipulate and analyze large, complex datasets and solve problems efficiently while completing other deliverables.
Planning and process-management skills, including independently running several projects simultaneously and completing them within guidelines and timelines.
Leadership skills in managing quantitative teams.
Strong written and verbal communication, collaboration, and ability to influence across functional areas and organizational levels.
Positive approach to change and ability to think creatively to solve business questions.
Credit risk and fraud detection skills; problem-solving, collaboration, and innovative thinking.
Ability to interpret, with guidance, relevant laws, rules, and regulations and apply them to strategy solutions.
Issue-management skills, including issue identification.

Nice To Haves

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, and with accessing, manipulating, and analyzing large, complex relational datasets.
Credit, fraud, and model-risk experience, including consumer and small-business lending credit-risk strategies.
Knowledge of consumer or small-business credit policies, procedures, and operations; payments-industry experience is beneficial.
A master’s degree in a related quantitative field is preferred.

Responsibilities

Analyze consumer and business lending portfolios to improve risk, profitability, performance forecasting, and operational performance.
Independently drive strategic improvements, large-scale projects, and initiatives.
Work with Line of Business counterparts and partner organizations, including Risk and Product teams.
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.
Identify and mitigate model risk and apply model-risk management practices and regulatory frameworks.
Manage multiple concurrent projects and deliver results within established timelines and guidelines.
Communicate complex analytical findings and recommendations to senior leadership and stakeholders.