Merchant Services Data & Modeling Analyst

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, elevate, 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

• 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