Model Manager

About the Role

Build a career that matches your ambition with innovation at LPL Financial. From cutting-edge resources and a collaborative environment to the freedom to make an impact, you’ll find the ingredients to shape your success while helping clients pursue their financial goals.

The Model Manager oversees a portfolio of complex and strategically important AI-driven supervisory models, ensuring their performance, governance compliance, documentation accuracy, and overall lifecycle management. This role involves continuous monitoring of model effectiveness, analyzing trends and performance metrics, and proactively identifying and escalating risks while recommending data-driven remediation strategies. The Model Manager leads model enhancements and change initiatives, working closely with technology, compliance, and business stakeholders to maintain model accuracy, regulatory compliance, and operational effectiveness.

Responsibilities

• 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.
• Model Enhancement & Optimization
  • 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.

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 lifecycles within a financial service or similarly regulated environment—including monitoring, validation, and change management activities.
• Working knowledge of FINRA, SEC, and NASAA regulatory frameworks as they relate to supervisory obligations and first-line control environments.
• Experience collaborating across compliance, technology, and operations functions, with the ability to translate technical model concepts for non-technical supervisory audiences.
• Proficiency in Microsoft Word, Excel, PowerPoint; experience with data visualization tools, query languages (SQL), or model monitoring platforms strongly preferred.
• Analytical and critical-thinking skills, with the ability to identify patterns in model performance data, diagnose root causes, and develop well-reasoned, actionable recommendations.
• Strong written and verbal communication skills, with experience preparing concise, professional reports and presenting findings to management-level stakeholders.
• Organized and detail-oriented, with the ability to manage multiple concurrent model workstreams with accuracy and professionalism.
• Genuine intellectual curiosity about AI, machine learning, and the application of emerging technologies to regulatory and supervisory challenges.

Preferences

• FINRA Series 7; willingness and eligibility to obtain required upon hire.
• Additional FINRA licensing (Series 24, 66).

Pay

Pay Range: $81,267.00 - $135,445.00. Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location.

Benefits

LPL offers a highly competitive Total Rewards package designed to support your success at work, at home, and at play—such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

About LPL Financial

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest-growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans.

The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools, and practice management services, ensuring advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. At LPL, independence means advisors and institution leaders have the freedom to do business their way and manage client relationships as they see fit.