Quantitative Finance Analyst

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!

• →Performs end-to-end wholesale credit risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• →Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
• →Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
• →Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• →Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• →Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• →Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

This role expands the Advanced Analytics team's capacity to deliver strategic risk insights, enhance forecasting and portfolio analytics capabilities, support regulatory and governance requirements, and strengthen data-driven decision making across Scenario & Enterprise Risk Analytics and its business partners.

• →Develop and deliver forward-looking risk analytics, portfolio assessments, and decision-support tools.
• →Analyze model results, portfolio performance, and emerging risk trends, translating findings into actionable business insights.
• →Support forecasting processes and model overlays through quantitative, economic, and financial analysis.
• →Monitor macroeconomic, industry, and client-specific developments to assess portfolio impacts.
• →Design and enhance analytical methodologies, tools, and reporting capabilities that improve risk identification and portfolio monitoring.
• →Partner with Risk, Business, Technology, and Analytics teams to deliver scalable solutions and operational capabilities.
• →Communicate complex analytical findings to senior leadership, governance stakeholders, and regulatory audiences.

• Master’s degree in Finance, Economics, Business, Mathematics, Statistics, Engineering, Computer Science, or related quantitative field; advanced degree and/or CFA progress preferred.
• Strong quantitative, analytical, and problem-solving capabilities.
• Knowledge of financial markets, macroeconomics, and risk management principles.
• Advanced Excel skills and experience with statistical or programming tools (e.g., Python, SAS, R, SQL).
• Ability to translate complex analytical findings into clear, actionable recommendations.
• Excellent written and verbal communication skills with the ability to engage both technical and executive audiences.
• Demonstrated ability to work effectively in a fast-paced, collaborative environment while managing multiple priorities.

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Data Modeling
• Data and Trend Analysis
• Process Performance Measurement
• Research
• Written Communications