Model Manager
Listed on 2026-07-26
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Business
Regulatory Compliance Specialist, Risk Manager/Analyst, Change Management
Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job OverviewThe Model Manager is responsible for overseeing a portfolio of complex and strategically important AI-driven supervisory models, ensuring their performance, governance compliance, documentation accuracy, and overall lifecycle management. This role continuously monitors model effectiveness, analyzes trends and performance metrics, and proactively identifies and escalates risks while recommending data-driven remediation strategies. The Model Manager leads model enhancements and change initiatives, including parameter updates, logic refinements, threshold recalibrations, and data modifications, while ensuring adherence to established governance and change management frameworks.
Working closely with technology, compliance, and business stakeholders, the role directs validation, quality control, testing, and deployment activities to maintain model accuracy, regulatory compliance, and operational effectiveness. Additionally, the Model Manager drives continuous improvement by identifying optimization opportunities, conducting root-cause analyses, and leveraging benchmarking, A/B testing, and scenario-based validation to support the evolution of next-generation supervisory models.
Model Management
- Own and manage a portfolio of complex, high-scale, or strategically significant supervisory AI models – taking full accountability for each model's performance, governance compliance, documentation currency, and lifecycle status.
- Conduct ongoing performance monitoring and trend analysis across assigned models, interpreting results against established thresholds and proactively escalating material deviations to the VP with root-cause analysis and recommended remediation.
- Manage model changes – including parameter adjustments, logic refinements, threshold recalibrations, and data feed modifications – through the firm's change management and governance protocols, ensuring complete documentation at each stage.
- Lead validation and quality control exercises for assigned models, coordinating with technology and compliance stakeholders to ensure models remain accurate, regulatory-compliant, and operationally effective.
- Proactively identify and prioritize enhancement opportunities across the assigned model portfolios, synthesizing performance data, supervisory feedback, and regulatory developments into well-reasoned improvement recommendations for VP review.
- Design and lead model enhancement initiatives – from scoping and requirements development through testing, validation, and deployment – coordinating cross-functional resources and managing timelines with minimal VP oversight.
- Conduct root-cause analysis when models produce anomalous, degraded, or inconsistent outputs, developing and executing remediation plans in a timely and thorough manner.
- Support A/B testing, benchmarking, and scenario-based validation to inform model update decisions and next-generation design.
What are we looking for?
We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements- 5+ years of experience in financial services with meaningful exposure to supervision, compliance, model risk management, or regulatory operations.
- Bachelor's degree in Business, Finance, Data Analytics, or a related field required.
- Demonstrated experience supporting or managing analytical or AI model life cycles within a financial service or similarly regulated environment – including monitoring validation and change management activities.
- Work…
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