Data Scientist II - Fraud Senior Model Governance

Bank of America is committed to making financial lives better through every connection. The Data Scientist II - Fraud Senior Model Governance role involves reviewing large datasets to uncover revenue opportunities and developing risk management strategies, while providing model governance support throughout the model life cycle.

Responsibilities

• Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights
• Applies agile practices for project management, solution development, deployment, and maintenance
• Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production
• Manages multiple priorities and ensures 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 presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
• Supports the identification of potential issues and development of controls
• Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
• Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph
• Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate
• Partnering with technology and model users to schedule deployments and planning for future model installations
• Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage
• Producing analytics to ensure early model results look consistent with expectations
• Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users
• Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated
• Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates
• Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis
• Serve as a subject matter expert across model’s live cycle
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation

Skills

• 4+ years of experience in model development or validation is required
• Must be proficient Python, SQL (SAS is a plus)
• Excellent technical writing skills
• Critical problem-solving abilities including selection of data and deployment of solutions
• Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team
• Excellent communication and influencing skills
• Thrives in fast-paced and highly dynamic environment
• Able to provide guidance to junior data scientists
• Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solution
• Bachelor's Degree in related field or equivalent work experience
• Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD)
• 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas
• Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques
• Experience with compliance of SR-11-7
• Experience influencing mid to senior (executive) level leaders
• Experience managing risk and issue remediation

Benefits

• Discretionary incentive eligible
• This role is currently benefits eligible.
• Access to paid time off
• Resources and support to our employees

Company Overview

• Bank of America is a financial institution that offers credit cards, home loans, and auto loan services. It was founded in 1998, and is headquartered in Charlotte, North Carolina, USA, with a workforce of 10001+ employees. Its website is https://www.bankofamerica.com.

Company H1B Sponsorship

• Bank of America has a track record of offering H1B sponsorships, with 780 in 2025, 546 in 2024, 590 in 2023, 759 in 2022, 715 in 2021, 931 in 2020. Please note that this does not guarantee sponsorship for this specific role.