Model Manager

LPL Financial; Fort Mill (SC); On-site; USD 81,267 - 135,445; Full time

Benefits offered by this job

401K matching

Health benefits

Stock options

Paid time off

Volunteer time off

Job summary

LPL Financial is seeking a Model Manager to oversee a portfolio of AI-driven supervisory models, ensuring governance, performance, and lifecycle integrity. You will coordinate validation, testing, and deployment with technology, compliance, and business stakeholders.

The role emphasizes remediation, data-driven improvements, and adherence to change-management frameworks. Collaboration across teams is essential for regulatory and operational effectiveness.

Qualifications

• 5+ years in financial services with supervision/model risk experience.
• Experience in analytical or AI model lifecycles within regulated environments.
• Familiar with regulatory frameworks (FINRA, SEC, NASAA).

Responsibilities

• Oversee portfolio of supervisory AI models and governance.
• Monitor performance, thresholds, and escalate deviations with root-cause analysis.
• Lead validation, testing, and deployment with cross-functional teams.
• Drive model enhancements, optimization, and scenario validation.

Skills

Analytical thinking

Critical thinking

Written communication

Verbal communication

Problem solving

SQL

Data visualization

Education

Bachelor's degree in Business

Bachelor's degree in Finance

Bachelor's degree in Data Analytics

Tools

Microsoft Word

Excel

PowerPoint

SQL

Job description

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 Overview

The 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.

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.

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 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.
• 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.
• A 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 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. Additionally, LPL Total Rewards package is highly competitive, 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.

Company Overview:

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(6), 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 that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run thriving businesses. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

Join the LPL team and help us make a difference by turning life’s aspirations into financial realities.

Principals only. EOE.

EAC 5.19.26