Jobs at LPL Financial

Leads LPL’s enterprise AI strategy and portfolio execution, translating strategic priorities into funded product and technology roadmaps. Owns competitive intelligence, build-versus-buy decisions, AI pricing and monetization perspectives, deployment operating models, and cross-functional alignment across business, product, technology, risk, and legal. Tracks business outcomes, resolves execution blockers, and provides leadership with reliable portfolio visibility. The role requires strong strategic judgment, operational execution, AI industry fluency, and the ability to accelerate enterprise decision-making.

Leads institutional client success management for a major financial services client. Builds executive relationships, improves client satisfaction and retention, identifies sales-growth opportunities, manages advisor attrition risk, develops business initiatives, and delivers education and conference programs. The role requires strategic leadership, consultative relationship management, financial-services expertise, operational execution, and collaboration with advisors, institutional executives, and internal leadership.

Leads enterprise observability engineering and operations monitoring across hybrid and cloud environments. Oversees monitoring strategy, platform design, operational intake, incident support, governance, access controls, and service operations. Manages and develops the Operations Monitoring team, evaluates monitoring technologies, supports production events, and partners across technology organizations to improve reliability, performance, scalability, and operational efficiency. Requires extensive IT operations leadership, Dynatrace expertise, AWS cloud monitoring, observability, and SRE experience.

Lead the design, development, deployment, and support of large-scale cloud-native enterprise services on AWS. Build containerized applications, infrastructure as code, REST APIs, distributed systems, and event-driven architectures using CQRS and event sourcing. Collaborate on domain modeling, architecture, modernization, performance, security, reliability, and operational excellence across enterprise platforms.

Reviews and approves sponsor reimbursement submissions for regulatory and policy compliance, including FINRA non-cash compensation requirements. Partners with advisors, sponsors, OSJs, commissions, and internal stakeholders to resolve issues and process reimbursements. Supports institutional clients, updates policies and procedures, creates training and advisor materials, delivers educational presentations, and tracks operational metrics and trends.

Leads enterprise production operations, site reliability engineering, batch operations, disaster recovery, change and release management, incident management, and operational resilience. Establishes reliability strategy, governance, SLOs, automation, observability, and modernization initiatives while overseeing 24x7 support for mission-critical platforms. Develops executive partnerships, manages budgets and vendors, builds leadership teams, and advises senior executives on technology operations, resiliency, risk, and service quality.

Leads the enterprise data governance risk and controls function, establishing its operating model, control framework, monitoring, testing, issue management, remediation, and executive reporting. Partners across Product, Technology, Risk, Compliance, Legal, Operations, and Audit to manage data-related risks, support regulatory readiness, integrate privacy, cybersecurity, AI, and third-party risk controls, and build a high-performing team.

Leads security architecture across cloud, on-premises, data, APIs, and AI/ML environments. Designs security patterns, standards, and zero-trust architectures; strengthens identity, encryption, threat detection, vulnerability management, SIEM, and incident response capabilities. Partners with development, operations, business, and enterprise architecture teams to align security with business objectives. Secures machine learning models and pipelines against adversarial attacks while supporting regulatory compliance and risk management.

Supports succession planning and legacy planning services for financial advisors. Manages project intake, workflows, milestones, escalations, advisor engagements, process improvements, and technology automation. Provides guidance on continuity and corporate planning options, conducts ad hoc financial analysis and data entry, collaborates with business partners, and presents ideas for improving service offerings.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Own the vision, strategy, roadmap, backlog, and measurement framework for an enterprise AI Product Development Lifecycle platform. Translate software delivery processes into workflows, requirements, governance gates, and measurable outcomes. Partner with engineering, architecture, design, AI governance, risk, and delivery teams to lead pilots, analyze results, improve adoption, and scale responsible AI-enabled software development practices.

Provides investment advice and financial reviews to mass-affluent clients by phone, executes transactions, handles service requests, prepares proposals, identifies sales and asset-retention opportunities, and resolves client or advisor issues. The role operates in a team-based call-center environment and supports operational improvement, policy communication, and collaboration with advisors and internal departments.

Provides investment advice and financial reviews to mass-affluent clients by phone, executes transactions, prepares reports and proposals, resolves client and advisor issues, supports operational improvements, and identifies sales and asset-retention opportunities. The role operates in a team-based call-center environment and requires financial services licensing, strong client service skills, and knowledge of industry policies and procedures.

Owns and governs Wealth Management account data products across their lifecycle. Responsibilities include prioritizing product backlogs, defining data standards and quality requirements, managing metadata and lineage, coordinating Agile delivery, partnering with business and regulatory stakeholders, supporting audits and compliance, and reporting product health and data quality metrics.

Provide trading support to financial advisors, money managers, and retail clients by placing equity and options orders, answering trade inquiries, resolving settlement issues, and ensuring compliance with market rules, regulations, and company policies. The role handles high-volume inbound calls and outbound trade-related communications in a fast-paced call center environment.

Provides mutual fund, UIT, and precious metals trading support to financial advisors, clients, and internal teams. Handles order placement, research, corrections, troubleshooting, escalations, and compliance-related issues in an inbound call center. Collaborates with departments, vendors, transfer agents, and fund sponsors to resolve problems, identify risks, improve procedures, and enhance operational efficiency and client experiences.

Leads product ownership for enterprise data consumption capabilities, defining strategy, roadmaps, priorities, success measures, and requirements. Partners with business, engineering, architecture, governance, and platform teams to deliver scalable data products. Analyzes data usage, lineage, dependencies, and impacts; supports APIs, feeds, reporting, and shared services; manages backlogs, Agile delivery, stakeholder communications, and data consumption standards.

Manages and trades centrally managed investment platforms, ensuring accounts align with selected strategies. Reviews model portfolios and large trades, researches complex issues, maintains reports, analyzes data, supports process improvements and projects, and serves as a key contact for internal and external partners.

Processes and reconciles ACAT and Non-ACAT cash and securities transfers for financial advisors. Reviews requests, researches outstanding transfers, communicates status with advisors and counterparties, performs quality control, and resolves process issues. Contributes to root-cause analysis, continuous improvement, waste reduction, and transfer-process efficiency while serving as a subject-matter resource for internal and external inquiries.

Design, build, and maintain Python-based data applications and scalable data pipelines using AWS Glue and PySpark; deploy containerized services on EKS; implement APIs with API Gateway and Lambda; integrate PostgreSQL, DynamoDB, and Kafka; follow TDD, CI/CD, and document work in Confluence and JIRA while collaborating in Agile teams.