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:

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 & 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.

 

Required Qualifications:

• Demonstrated analytical expertise through 4+ years of experience in credit risk, underwriting, strategy, analytics, or related fields.
• Advanced proficiency in data extraction, manipulation, and analysis using tools such as 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.
• Self-motivated and intellectually curious professional who thrives in fast-paced, dynamic environments and is driven to deliver meaningful business results.
• Strategic thinker with sound judgment, a collaborative mindset, strong client focus, and the ability to balance innovation with prudent risk management.
• Exceptional verbal and written communication skills, including the ability to translate complex analytical concepts into clear, actionable business insights.
• Passion for leveraging data and analytics to identify trends, assess risk, uncover opportunities, and inform strategic decision-making.
• Demonstrated knowledge of credit risk management, underwriting strategies, financial performance drivers, and credit operations, complemented by strong problem-solving capabilities.
• Proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word.
• Strong project management and organizational skills with a proven ability to build relationships, influence stakeholders, and collaborate effectively across all levels of the organization.

Desired Qualifications:

• 4+ 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.
• Demonstrated analytical experience supporting consumer or small business lending decisions through the application of 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 is preferred.
• Proven ability to leverage 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 preferred.

Responsibilities:

• Performs 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
• Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
• Identifies business trends based on economic and portfolio conditions and communicates findings to senior management
• Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights

Skills:

• Analytical Thinking
• Business Analytics
• Data and Trend Analysis
• Fraud Management
• Problem Solving
• Collaboration
• Innovative Thinking
• Monitoring, Surveillance, and Testing
• Presentation Skills
• Risk Management
• Data Visualization
• Interpret Relevant Laws, Rules, and Regulations
• Issue Management
• Oral Communications
• Written Communications

Minimum Education Requirement: High School Diploma / GED / Secondary School or equivalent

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - CA - Westlake Village - 31303 Agoura Rd - 31303 Agoura Road (CA6917), US - ME - Belfast - 11 SCHOODIC DR - BELFAST VIII (ME5068)

Pay and benefits information

Pay range

$95,000.00 - $142,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.