Bank of America · 21 hours ago
Data Scientist II - Fraud Senior Model Governance
Bank of America is committed to helping make financial lives better through the power of every connection. The Data Scientist II role focuses on model governance support across the entire model life cycle, utilizing advanced analytics to manage risks and uncover revenue opportunities.
Asset ManagementBankingFinanceFinancial ServicesFinTech
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
Qualification
Required
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
Preferred
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.
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.
Company
Bank of America
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services.
H1B Sponsorship
Bank of America has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (780)
2024 (546)
2023 (590)
2022 (759)
2021 (715)
2020 (931)
Funding
Current Stage
Public CompanyTotal Funding
$3.59BKey Investors
Berkshire Hathaway
2025-02-20Post Ipo Debt· $386.79M
2024-11-26Post Ipo Debt· $2B
2020-07-28Post Ipo Equity· $400M
Leadership Team
Recent News
2026-01-17
2026-01-17
Company data provided by crunchbase