Analyst, Model Monitoring (L08)

Synchrony

3d • Hybrid

About The Position

The Analyst, Model Monitoring is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and plays a critical role in the post-deployment monitoring of 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 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.

Requirements

• 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 3+ years of relevant work experience in model analytics, monitoring and 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.

Nice To Haves

• 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).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level