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About the Role
This role involves analyzing and interpreting large datasets to uncover revenue generation opportunities and develop risk management strategies. Key responsibilities include collaborating with stakeholders to understand business problems, using data analysis techniques to devise solutions, and presenting findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Responsibilities
- Performs business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis) to support decision-making and drive data-driven insights.
- Applies agile practices for project management, solution development, deployment, and maintenance.
- Creates and maintains technical documentation, capturing business requirements and specifications for analytical solutions and their implementation.
- Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment.
- Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables.
- Mitigates risk by identifying potential issues and developing controls.
- Researches the latest advances in data science and artificial intelligence to support business analytics.
Requirements
- Demonstrated ability to foster an innovative culture while effectively interacting with, influencing, and communicating with senior business leaders.
- Strong track record of challenging the status quo, identifying opportunities for improvement, and driving organizational change.
- Knowledge of AI and model governance frameworks within large, complex organizations.
- Excellent interpersonal skills with the ability to build credibility and collaborate effectively across all levels of the organization.
- Strong verbal and written communication skills, with a demonstrated ability to build trusted relationships and influence diverse stakeholders.
- Ability to translate complex analytical concepts and technical findings into clear, actionable business recommendations for technical and non-technical audiences.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 1+ years of related work experience.
- Good, applied statistics skills, such as distributions, statistical testing, feature engineering.
- Understanding and applied knowledge of Artificial Intelligence and machine learning modelling techniques.
- Excellent understanding of how Artificial Intelligence is used and governed in large regulated US financial institutions.
- Technical writing skills.
Skills
- Adaptability
- Attention to Detail
- Business Analytics
- Technical Documentation
- Written Communications
- Agile Practices
- Application Development
- Collaboration
- Data Visualization
- DevOps Practices
- Artificial Intelligence/Machine Learning
- Networking
- Policies, Procedures, and Guidelines Management
- Presentation Skills
- Risk Management
- scikit-learn
- PyTorch
- TensorFlow
- GenAI applications
- copilots
- agents
- workflow automation solutions
- model governance
- model risk management
- AI governance frameworks
- REST APIs
- microservices
- enterprise application integration
- software testing
- code reviews
- development best practices
- financial services
- risk management
- compliance
- audit
- operational processes
- modern AI development tools
- GitHub Copilot
- VS Code
Location
- United States of America
Work Type
- 1st shift
Experience Level
- 1+ years of related work experience
Education Level
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Benefits
- affordable, competitive and flexible benefits
About the Company
- 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.
- Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the bank.
- GRA is also responsible for model implementation, execution, forecasting and performance monitoring.
- The team drives innovation, process improvement and automation across these activities.
- Data Science for Technology, Risk, and Operations (DSTRO) enables the Bank's responsible adoption of Artificial Intelligence (AI) through governance, model oversight, model development, and enterprise data engineering.
- By providing AI and model risk governance, AI-driven solutions, and critical transaction data assets, DSTRO delivers the controls, infrastructure, and insights needed to strengthen risk management, enhance operational effectiveness, and drive enterprise value.
- Artificial Intelligence Development Executive (AI-DE) team reviews, challenges, and approves AI Risk Assessments and AI Readiness Tollgates for all AI use cases where DSTRO serves as AI-DE.
- Leverages technical AI subject matter expertise to assess supporting documentation including Quantitative Methods Classification for completeness, accuracy, sufficiency, and adherence to governance requirements.
- As a Data Scientist I, you will support AI and model development activities that address key business challenges throughout the full product lifecycle, from ideation through retirement, across multiple lines of business (LOBs) at Bank of America.
- You will work directly with senior model owners, developers, and users across these LOBs.
- In supporting model development, you will focus on streamlining manual processes, improving decision-making, and delivering measurable ROI through scalable, compliant, and integrated solutions.
- You will also provide cross-functional insights and identify opportunities to leverage existing AI technologies, models, and methodologies across the bank to avoid duplication, promote reuse, and share best practices.
- This role provides a unique opportunity to directly support Bank of America's Enterprise AI Catalyst program and contribute to the company's AI enablement strategy.
- The successful candidate will possess a balanced combination of relationship management, project management, and strong, proven data science expertise.