Data Scientist I

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!

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  Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights

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  Applies agile practices for project management, solution development, deployment, and maintenance

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  Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production

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  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

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  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

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  Mitigates risk by identifying potential issues and developing controls

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  Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

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. 

• 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 a large regulated US financial institutions

• Technical writing skills

• Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.

• Experience building GenAI applications, copilots, agents, or workflow automation solutions.

• Familiarity with model governance, model risk management, or AI governance frameworks.

• Experience working with REST APIs, microservices, and enterprise application integration.

• Experience with software testing, code reviews, and development best practices.

• Experience in financial services, risk management, compliance, audit, or operational processes.

• Experience using modern AI development tools such as GitHub Copilot and VS Code

• 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