Jobs at LPL Financial

Provide reporting, data analysis, project and training support for the Networking team. Track project status, translate business needs into technical requirements, support UAT, automate processes, maintain procedures and controls, handle escalations, and contribute to firm-level M&A and process improvements.

Support client compensation through data sorting, modeling, reconciliations, and ad-hoc reporting. Investigate and analyze compensation issues, communicate with internal/external partners, assist process redesign and projects, and serve as SME data support.

Manages and triages client feedback through a closed-loop process, ensuring timely acknowledgment, routing, tracking, escalation, and professional communication. Coordinates with subject matter experts to deliver responses, monitors service levels, addresses aging items, supports SME coverage and onboarding, and contributes to reporting, governance, and workflow improvements. The role emphasizes client-centric execution, stakeholder coordination, operational discipline, and high-quality service delivery.

Supports financial advisors by educating them on advisory platforms and investment products, consulting on client scenarios, and recommending suitable solutions. The role requires strong product knowledge, communication, judgment, collaboration, and a commitment to advisor success. Associates will develop investment expertise, mentor peers when appropriate, and work in a fast-paced financial services environment.

Build reusable SDKs, tools, templates, sample applications, and reference implementations that help engineering teams develop, test, deploy, and adopt AI solutions. Create documentation and onboarding resources, support AI use cases such as assistants, summarization, RAG, and agent workflows, and partner with engineering and product teams to improve developer experience, scalability, reliability, and adoption.

Leads the design, development, modernization, support, and integration of IFS Move Money workflows, including ACH, checks, wires, journals, and retirement transactions. Provides technical leadership, establishes engineering standards, mentors teams, partners with product and business stakeholders, and drives cloud-native architecture, automation, CI/CD, platform reliability, and strategic technology initiatives.

Provide trading support to financial advisors, money managers, and retail clients by placing equity and options orders, answering trade inquiries, resolving trade and settlement issues, and handling high-volume inbound and outbound calls. Explain product risks, fees, regulations, and firm policies while ensuring accurate and compliant trade execution and delivering strong client service.

Manages marketing programs for acquired brands and affiliated advisors, including campaign execution, analytics, compliance coordination, promotional merchandise, print production, rebranding, podcasts, events, and vendor relationships. Supports brand growth, advisor service, marketing operations, and process improvement while ensuring consistent messaging and regulatory adherence.

Provide investment advice and account service to mass-affluent clients via inbound/outbound calls. Execute transactions, prepare reports, identify sales and retention opportunities, resolve client issues, and support internal teams in a call-center environment.

Leads product strategy, roadmap development, lifecycle management, innovation, and commercialization for LPL Capital Partners advisor solutions. Identifies market and advisor needs, develops business cases and success metrics, coordinates cross-functional launches, monitors performance, and delivers executive recommendations. The role also establishes product governance and serves as a subject matter expert on advisor succession planning, liquidity, and M&A-related solutions.

Perform account and data reconciliations within SLA, troubleshoot accounting and data issues, validate performance returns, support month-end controls, drive process improvements, and document procedures while collaborating with analysts and senior analysts.

Lead and maintain enterprise AI governance frameworks, perform AI risk assessments and gap analyses, define controls for AI development and deployment, ensure regulatory and standards compliance (NIST/ISO), collaborate with cross-functional stakeholders, produce executive-level materials, and support AI training and awareness.

Manages daily alternative investment operations, including reconciliations, transfers, conversions, dividends, corporate actions, exception processing, and reporting. Leads staff development, performance management, vendor and regulatory oversight, risk mitigation, process improvement, automation, project execution, user acceptance testing, and escalations. Partners with cross-functional teams to interpret regulatory changes, define technical requirements, improve service standards, and maintain operational excellence.

Supports compensation program design, implementation, administration, and compliance. Analyzes survey data and pay trends, assists with merit, bonus, and equity cycles, evaluates jobs, maintains compensation data in HRIS systems, prepares reports, and provides guidance to HR partners and business stakeholders. The role also supports compensation communications, training, policy development, and impact analysis while handling confidential information accurately.

Lead development and execution of enterprise end-client experience strategy. Use qualitative and quantitative insights to prioritize initiatives, build business cases, design journey frameworks, influence senior leaders, partner across product/tech/operations, and drive measurable outcomes like retention, growth, and satisfaction. Produce executive-ready presentations and operationalize experience frameworks across the firm.

Owns the strategy, roadmap, delivery, adoption, and performance of an enterprise AI platform. Responsibilities include managing AI asset registries; enabling registration, testing, certification, monitoring, and retirement; overseeing runtime controls, data permissions, evaluation, observability, incident recovery, audit evidence, cost tracking, and FinOps reporting. Partners with engineering, cybersecurity, risk, compliance, privacy, legal, records management, supervision, data, and product teams to support responsible AI innovation.

Owns the enterprise control plane and product strategy for agentic technologies, AI platforms, non-human identities, and emerging technologies. Defines identity, authorization, governance, monitoring, auditability, risk, and enforcement capabilities that enable secure AI adoption. Translates security and regulatory requirements into scalable platform features, partners with engineering and control functions, manages roadmaps and operational performance, and communicates control gaps and decisions to senior stakeholders.

Provide inbound phone and email financial planning support to advisors: research complex planning questions, deliver clear guidance, connect advisors to partners, and refer to LPL planning resources. Potential to help develop educational content and strategy for unique client cases.

Mid-level cloud operations engineer responsible for triaging Jira/ServiceNow tickets, executing and improving runbooks, fulfilling IAM/account requests, running Terraform and AWS operations, participating in 24x7 on-call incident response, automating repeatable tasks, embedding agentic AI into workflows, and collaborating across Clouds Center of Excellence pods to apply Well-Architected practices and deliver secure, reliable, cost‑effective infrastructure.

Design, implement, and maintain automated test frameworks and test suites for web, API, and enterprise applications. Create and execute test plans for functional and non-functional requirements, integrate automated tests into CI/CD pipelines, perform API and database validation, and run performance and security testing. Collaborate with engineers and stakeholders, track and validate defects, participate in design/code reviews, monitor quality metrics, and mentor junior quality engineers to improve engineering quality practices.