AVP, Tax Overlay & Portfolio Strategy

LPL Financial; Fort Mill (SC); On-site; USD 119,000 - 199,000; Full time

Job summary

LPL Financial is seeking an Associate Vice President, Portfolio Manager and Tax Overlay to lead the evolution of tax-optimized trading and overlay strategies within the Overlay Portfolio Management Group. You will design scalable direct indexing capabilities and UMA overlays, partnering with cross‑functional teams to deliver advisor‑friendly solutions.

The ideal candidate combines investment-management leadership, tax-optimized philosophy, and hands-on experience with multi‑factor risk models

Qualifications

• Bachelor’s degree required.
• Series 7 and 66 (or 63/65 equivalent).
• 5+ years in investment-management program leadership, advisory platforms, or overlay-strategy implementations.
• 2+ years of quadratic and mixed-integer optimization and multi-factor risk modeling using leading platforms.

Responsibilities

• Lead rollout and scaling of tax-optimized direct indexing and overlay frameworks.
• Design and implement automated trading tools and proprietary platforms.
• Develop tax-optimized multi-asset UMA and direct indexing overlay trading capabilities.
• Oversee daily tax-efficient portfolio management workflows across accounts.
• Drive performance monitoring and analytics for complex, tax-sensitive portfolios.
• Engage advisors and stakeholders with high-impact materials and trainings.

Skills

Series 7

Series 66

Portfolio management

Tax overlay

Direct indexing

UMA trading

Multi-factor risk models

Risk modeling

Excel

Stakeholder engagement

Education

Bachelor’s Degree

Tools

Axioma

Northfield

MSCI Barra

Vestmark VAST

Envestnet/PMC

QIS

n-factor Risk Models

Job description

LPL Financial is seeking an Associate Vice President, Portfolio Manager and Tax Overlay to lead the evolution of tax-optimized trading and overlay strategies within the Overlay Portfolio Management Group. You will design scalable direct indexing capabilities and UMA overlays, partnering with cross‑functional teams to deliver advisor‑friendly solutions.

The ideal candidate combines investment-management leadership, tax-optimized philosophy, and hands-on experience with multi‑factor risk models