Merchant Services Data & Modeling Analyst

Bank of America

Data & Modeling Analyst enhancing model governance practices at Bank of America. Collaborating with Global Risk Analytics and contributing to risk management initiatives in financial services.

Posted 6/25/2026full-timeCharlotte • New Jersey, North Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Serve as the primary liaison to Global Risk Analytics (GRA), translating Merchant Services business context, data nuances, and risk dynamics into actionable insights
Partner with GRA to ensure effective model oversight, including performance monitoring, lifecycle management, and adherence to policy and regulatory expectations
Proactively identify, assess, escalate, and help remediate model risks, ensuring alignment between governance standards and real-world business application
Influence and shape model governance practices within a frequently evolving oversight structure
Partner closely with a strategic vendor partner to deeply understand underlying data, performance dynamics and model or data changes; support and materials required to successfully obtain Model Risk Management (MRM) approval for next generation models
Provide strong analytical support to GRA, MRM and LOB partners, leveraging data to evaluate model behavior, identify emerging risk and support strategic decision-making
Develop and maintain custom reporting and monitoring frameworks to track model performance, input stability and outcomes
Drive and contribute to strategic enhancements, including model upgrades, version changes and evaluation of new tools and methodologies
Ensure models remain fit-for-purpose, well-documented and aligned to business objectives and governance standards

Requirements

What you’ll need

Bachelor’s degree in mathematics, statistics, computer science, engineering, economics, finance, or a related quantitative discipline
5+ years of relevant experience in quantitative analysis, risk management, or model lifecycle activities
Strong analytical skillset with demonstrated ability to translate complex data into business insights
Proficiency in data and analytical tools such as Python, SAS, SQL, Tableau (or similar)
Working knowledge of model risk management frameworks, including model development, validation, monitoring, and documentation
Understanding of credit and/or fraud risk strategies and underlying business drivers
Proven ability to operate effectively in cross-functional environments, influencing stakeholders across technical and non-technical teams
Excellent communication skills, including the ability to articulate complex concepts clearly and persuasively to senior audiences

Benefits

Comp & perks

Health insurance
401(k)
Paid time off
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative analysisrisk managementmodel lifecycle activitiesdata analysismodel developmentmodel validationmodel monitoringmodel documentationdata translationanalytical support

Soft Skills

analytical skillsinfluencing stakeholderscross-functional collaborationcommunication skillspersuasive articulationproblem-solvingstrategic decision-makingadaptabilityrelationship managementgovernance alignment