Job description

Job Description: Job Description At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer and business lending. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the Line of Business and partner organizations including Risk and Product teams. Required Qualifications • 7+ years of experience in financial services, risk management, fraud or risk/marketing analytics, with a bachelor’s or master’s degree in a quantitative discipline. • Advanced proficiency in Python, SAS, Tableau, AI tools, and related analytical platforms to manipulate data and develop governed statistical analyses, scoring solutions, or AI-related tools within established time frames. • Strong credit-risk analytics expertise, including evaluating originations, default, prepayment, collateral recovery, portfolio trends, and risk-reward tradeoffs within established tolerances. • Ability to independently develop, document, defend, and implement analytical strategies, including assumptions, limitations, conclusions, recommendations, and governance requirements (documenting requirements, testing, implementation success metrics and completing necessary change control). • Excellent executive communication and technical-writing skills, with the ability to translate complex findings into clear recommendations for senior leadership and other stakeholders. • Strategic, collaborative, and self-directed leadership, with strong project-management skills and the ability to drive improvements, manage relationships, identify emerging risks, and deliver in a fast-paced environment. Desired Skills • 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. • Strong technical proficiency in SAS, Python, AI Prompting, MS Office, and analytical/reporting tools, with experience accessing, manipulating, and analyzing large, complex relational datasets in a fast paced work environment. • 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. • Relevant lending and industry knowledge , including consumer or small-business credit policies, procedures, and operations; payments-industry experience is beneficial. • Proven leadership and project-management capability as a sole contributor , ability to partner within quantitative teams, independently manage multiple concurrent projects, meet established timelines, and deliver results within defined guidelines. • Strong communication, collaboration, and influence skills , with the ability to work across functional areas, communicate effectively at all organizational levels, and approach change and business challenges with a positive, innovative mindset. • Bachelor’s degree in a quantitative discipline such as mathematics, statistics, computer science, engineering, economics, or finance; a master’s degree in a related field is preferred. Skills • Solid working knowledge of statistical and/or financial modeling/analyses and the proven ability to apply that knowledge to business data and strategies. • An understanding of common financial terms and calculations, such as IRR, ROE, ROA, RAS, RANIM, RAM. • Strong coding ability in SAS/Python, expertise in MS Office Products. • Analytical skills to manipulate and analyze large complex datasets and to logically solve problems in an expedient manner while completing other required job deliverables. • Proven history of using good planning and process management skills, able to run several projects independently simultaneously and ensure completion within given guidelines and timing. • Proven leadership skills in managing quantitative teams • Strong written and verbal communication skills. • Ability to manage across multiple functional areas and influence others at all levels of the organization. • Positive attitude towards change and ability to think out of the box to solve business questions. • Credit Risk and Fraud Detection skills • Problem Solving, Collaborative, Innovative Thinking • Interpret with guidance relevant Laws, Rules, and Regulations and apply to strategy solutions • Issue Management including identification • Strong Oral and written communications Minimum Education Requirement: High School Diploma / GED / Secondary School or equivalent Shift: 1st shift (United States of America) Hours Per Week: 40

Requirements

Must-haves

7+ years of experience in financial services, risk management, fraud or risk/marketing analytics, with a bachelor’s or master’s degree in a quantitative discipline.
Strong credit-risk analytics expertise, including evaluating originations, default, prepayment, collateral recovery, portfolio trends, and risk-reward tradeoffs within established tolerances.
Excellent executive communication and technical-writing skills, with the ability to translate complex findings into clear recommendations for senior leadership and other stakeholders.
Strategic, collaborative, and self-directed leadership, with strong project-management skills and the ability to drive improvements, manage relationships, identify emerging risks, and deliver in a fast-paced environment.
Analytical skills to manipulate and analyze large complex datasets and to logically solve problems in an expedient manner while completing other required job deliverables.
Minimum Education Requirement: High School Diploma / GED / Secondary School or equivalent
1st shift (United States of America)

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.
Relevant lending and industry knowledge , including consumer or small-business credit policies, procedures, and operations; payments-industry experience is beneficial.
Bachelor’s degree in a quantitative discipline such as mathematics, statistics, computer science, engineering, economics, or finance; a master’s degree in a related field is preferred.
Solid working knowledge of statistical and/or financial modeling/analyses and the proven ability to apply that knowledge to business data and strategies.
An understanding of common financial terms and calculations, such as IRR, ROE, ROA, RAS, RANIM, RAM.
Strong coding ability in SAS/Python, expertise in MS Office Products.
Proven history of using good planning and process management skills, able to run several projects independently simultaneously and ensure completion within given guidelines and timing.
Proven leadership skills in managing quantitative teams
Strong written and verbal communication skills.
Ability to manage across multiple functional areas and influence others at all levels of the organization.
Positive attitude towards change and ability to think out of the box to solve business questions.
Credit Risk and Fraud Detection skills

Application prep

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Keywords to mirror

pythonai

Platform: workday
Effort: long

Benefits

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