Senior Data Scientist – Model Portfolio Management

Bank of America•Boston, MA

12d•$185,000 - $230,000•Onsite

About The Position

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for coordinating, reviewing, and optimizing data analysis to create revenue generating opportunities, and overseeing the development of effective risk management strategies. Key responsibilities include working with lines of business to identify and diagnose problems, utilizing sophisticated analytics, and deploying advanced techniques to devise solutions, and clearly communicating recommendations based on findings. Job expectations include demonstrating leadership, influence, accountability, and a commitment to fostering responsible growth for the enterprise. Advanced Analytics Client Protection team is seeking a seasoned Senior Data Scientist to lead Model Portfolio Management efforts and drive strategic oversight across our fraud modeling ecosystem. This role is ideal for a candidate with expertise in model development, governance, and deep expertise stakeholder engagement, and who thrives in connecting the dots across a complex enterprise landscape.

Requirements

5+ years of experience in analytical role is required
Exceptional stakeholder communication skills, with the ability to engage, influence, and align diverse audiences across business, technology, risk, and compliance functions.
Strong executive presence, capable of representing the fraud modeling portfolio in senior forums, steering committees, and enterprise-wide initiatives.
Proven experience in cross-functional leadership, driving collaboration across lines of business.
Strategic thinking and planning capabilities, including capacity planning and roadmap development aligned to enterprise objectives.
Ability to synthesize complex analytical insights into clear, actionable narratives for senior stakeholders and decision-makers.
Strong organizational and project management skills, with the ability to manage multiple priorities and drive execution.

Nice To Haves

Bachelor’s Degree in quantitative degree 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.
Deep understanding of model governance and lifecycle management, including validation, monitoring, documentation, and regulatory engagement.
Proficient in Python, SQL or SAS
Skills: Artificial Intelligence/Machine Learning Business Acumen Presentation Skills Project Management Technical Documentation Candidate Screening Data Visualization Policies, Procedures, and Guidelines Management Risk Management Written Communications Adaptability Career Path Design Consulting Performance Management Workforce Opportunity Management

Responsibilities

Leading the Fraud Models Community of Practice, including ownership of routines, stakeholder engagement, and strategic alignment across fraud model owners and developers.
Overseeing portfolio-level Fraud Model Health Monitoring, identifying cross-model performance trends, uncovering opportunities for consistency in methodology and governance, and informing strategic prioritization of model development and enhancement efforts.
Driving model prioritization and strategic planning, including capacity planning and roadmap development for fraud model initiatives.
Conducting Model Value Trend Analysis to assess business impact, identify optimization opportunities, and inform investment decisions.
Managing the Gen AI model inventory for fraud use cases, including prioritization, governance, and serving as the face of the Client Protection for Gen AI efforts.
Evaluating Proof of Concepts for emerging fraud detection techniques and technologies, ensuring alignment with strategic priorities and assessing feasibility, scalability, and value across the model portfolio.
Supporting Bank policy for Artificial Intelligence models and ensuring risks associated with advanced techniques are identified and mitigated.
Driving model performance analytics beyond policy requirements, including granular monitoring, early trend detection, root cause and gap analysis, etc.
Serving as a subject matter expert across the model lifecycle, providing guidance and thought leadership.
Mentoring junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Benefits

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
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.

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