Role Summary/Purpose
The Senior Analyst, Model Monitoring Analytics plays a critical role in the post-deployment monitoring of credit and decision models across the enterprise. This individual is responsible for executing performance tracking routines, developing dashboards, supporting performance investigations, and collaborating with model owners and risk stakeholders to ensure models remain accurate, explainable, and compliant. This role reports to a Model Monitoring Lead and will support the team by applying advanced analytical skills and a working knowledge of model governance standards to help uphold the integrity of the model risk management lifecycle.
Essential 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.
Qualifications/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
Desired Characteristics
- Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering).
- 2+ years with data manipulation and analysis tools such as Python, SQL, R, or SAS.
- Strong problem-solving and critical thinking skills, especially when interpreting complex performance trends or ambiguous signals.
- Solid communication and stakeholder engagement skills, with the ability to present findings in a structured and compelling manner.
- Proactive and collaborative mindset, with experience working in cross-functional model risk or analytics teams.
- Interest in staying current with emerging monitoring tools, AI/ML observability practices, and explainability techniques.
- Exposure to regulatory or audit interactions related to model performance monitoring or documentation
- Strong Familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies).
- 1+ Years experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.
- 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.
- Financial Services Industry Experience specifically with model analytics, monitoring, validation or development focus.
Grade/Level: 09
The salary range for this position is 85,000.00 - 140,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
Our Way Of Working
We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events.
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