Hybrid VP, Model Monitoring

at Synchrony

• Job title: VP, Model Monitoring
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Tableau
• Location requirements: Hybrid, Hyderabad, India

About the role

• VP of Model Monitoring at Synchrony leading analytics strategy in model risk management. Overseeing high-impact models and ensuring compliance with business and regulatory standards.

Responsibilities

• Support the development and execution of the model monitoring roadmap, ensuring the practices are forward-looking, risk-informed, and aligned with business priorities and regulatory expectations.
• Lead performance oversight for high-impact models, prioritizing monitoring efforts based on risk, materiality, and business impact—ensuring the right models receive the right level of scrutiny.
• Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, accountability, and continuous learning.
• Drive complex performance investigations, including monitoring, reporting, and flagging performance issues to support identification of root causes and business implications and guide coordinated corrective actions.
• Oversee the design and evolution of monitoring tools, dashboards, and alerting systems that deliver timely, actionable insights to stakeholders and support informed decision-making.
• Maintain enterprise-wide monitoring standards, defining performance thresholds, stability indicators, and explainability requirements that reflect both regulatory guidance and internal risk appetite.
• Champion automation and scalability, leveraging technology and analytics to streamline recurring monitoring routines and ensure consistency, accuracy, and long-term efficiency.
• Act as a trusted advisor during audits and regulatory reviews, clearly articulating monitoring outcomes, risk mitigations, and the strength of the monitoring framework.
• Collaborate cross-functionally with model developers, users, validators, and risk officers to ensure that performance insights are integrated throughout the model lifecycle—from design to retirement.
• Continuously evolve the monitoring function, staying ahead of industry best practices, emerging risks, and new technologies to ensure our capabilities remain strong, relevant, and resilient.

Requirements

• 8+ years of experience model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting.
• Strong technical proficiency in Python, SQL, and data visualization tools like Tableau or Power BI.
• Solid understanding of model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift.
• Ability to synthesize complex technical findings into business-friendly communications and recommendations.
• Experience managing multiple projects or monitoring streams, with attention to timelines, quality, and stakeholder expectations.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.
• Working knowledge of performance drift metrics, stability indicators, and key model health metrics.
• Demonstrated ability to synthesize technical insights into business-aligned narratives and actionable recommendations.
• Proven project management capabilities with experience leading multiple monitoring initiatives in parallel.
• Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling, or consumer lending.

Benefits

• Best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
• Career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.