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

Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 1+ years’ experience OR, in lieu of degree, and 3+ years of relevant work experience in model analytics, monitoring and validation
1+ years of experience in model analytics, monitoring, validation, or development within a financial services environment
Strong technical proficiency with data manipulation and analysis tools such as Python, SQL, R, or SAS
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
Ability to translate technical findings into clear, concise documentation for non-technical audiences
Experience with monitoring automation or process efficiency initiatives is a plus
Ability to manage multiple models or monitoring streams independently, with a high attention to detail and quality

best-in-class employee benefits and programs that cater to work-life integration and overall well-being
career advancement and upskilling opportunities for all to take up leadership roles

Analyst, Model Monitoring – L8

Key skills