Merchant Services Data & Modeling Analyst

This role sits within the Merchant Services Credit & Transactional Risk organization , on the Strategies, Models & Enablement team , and offers a unique opportunity to operate at the intersection of model risk governance, advanced analytics, and business strategy.

The successful candidate will play a critical, highly visible role partnering with Global Risk Analytics (GRA), strategic vendor and Model Risk Management stakeholders as a key liaison and subject matter expert, providing business context, data insight, and analytical support to ensure effective and practical model governance.

This role is ideal for a candidate who can work with a high degree of independence and thrives in ambiguous, evolving environments and enjoys influencing outcomes on both the technical and business fronts. Primary Responsibilities 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 Required Qualifications 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 Desired Skills Experience in model risk management, model development, or model validation Prior exposure to consumer or small business credit and/or fraud strategies Experience supporting payments or merchant acquiring portfolios Master’s degree in a quantitative field (e.g., Statistics, Economics, Engineering) Familiarity with scoring toolkits and model implementation frameworks Shift: 1st shift (United States of America) Hours Per Week: 40