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.

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.

Senior Analyst, Model Monitoring Analytics

Key skills