Hybrid Senior Analyst, Model Monitoring Analytics

at Synchrony

• Job title: Senior Analyst, Model Monitoring Analytics
• Job type: Full Time
• Experience level: Senior
• Salary: $85,000 - $140,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Chicago, United States

About the role

• Senior Analyst responsible for monitoring credit and decision models, ensuring compliance and accuracy at Synchrony. Collaborating with stakeholders and utilizing advanced analytical skills for performance tracking.

Responsibilities

• Perform model monitoring activities for credit, customer, and non-customer decision models, including tracking of KPIs, stability metrics, and performance degradation indicators.
• Create and maintain dashboards and reports that communicate performance trends, trigger alerts, and highlight potential model concerns.
• Collaborate with model developers, owners, and validators to support timely issue investigation, remediation planning, and documentation updates.
• Support the development and maintenance of monitoring frameworks, including stability thresholds, performance benchmarks, and early warning indicators.
• Assist with the automation of recurring monitoring tasks using scripting (e.g., SAS, Python, SQL) and workflow tools.
• Document model performance summaries, trend analyses, and key monitoring artifacts in accordance with model risk policies.
• Prepare inputs for model risk reports, audit reviews, and regulatory requests, ensuring traceability and completeness of monitoring evidence.
• Contribute to the adoption of MLOps best practices and explainability techniques (e.g., SHAP, LIME) to enhance monitoring transparency and trust.
• Participate in cross-functional working sessions to evaluate monitoring outcomes and support continuous improvement initiatives.
• Perform other duties and/or special projects as assigned.

Requirements

• Bachelor’s degree and 2+ years of experience in model analytics, monitoring, validation, or development within a regulated industry;
• In lieu of Bachelor’s Degree, a High School diploma / GED and 5+ years of experience in model analytics, monitoring, validation, or development within a financial services or regulated industry
• Academic experience /training on analytic tools such as Python, SQL, R, or SAS.
• Working knowledge of performance such as drift metrics, stability indicators, and key model health metrics.
• Ability and flexibility to travel for business as required.

Benefits

• Flexibility to work from home
• Regular business or team meetings
• Training and culture events