Morgan Stanley

Network Engineer

• Architect, design, and implement enterprise-scale cloud network infrastructure
• Develop Terraform modules using Terraform Enterprise and Terraform Cloud
• Integrate cloud core services with Morgan Stanley on-premises systems
• Test infrastructure as code using tools and frameworks such as Terraform Test
• Lead cloud network automation and deployment through CI/CD integrations including GitLab, GitHub Actions, and Azure DevOps
• Design and support Kubernetes-based private cloud networks, including ingress, egress, and routing topologies
• Write technical documentation and troubleshoot and debug technical issues
• Influence organizational cloud adoption strategy through leadership and collaboration with senior stakeholders
• Collaborate with the broader Cloud team to execute the firm's cloud strategy
• Partner with cross-functional technical teams to deliver product-level solutions and operational support
• Lead cloud networking strategy, architecture, and design decisions
• Contribute to engineering reviews, incident response, and root cause analysis

Senior Cloud Network Engineering Specialist

AI Engineer

• Directly manage and mentor a team of engineers
• Drive team vision and strategy, communication, consensus building, standards, ownership, accountability, and project management
• Lead GenAI development projects from requirements gathering through deployment, bug fixes, enhancements, and escalated support
• Work with business users and engineering teams to understand requirements, scope solutions, and communicate technical trade-offs
• Design, develop, and maintain reusable platform-level GenAI components, governance processes, model evaluation capabilities, services, and APIs
• Develop platform-level GenAI applications using prompt engineering, RAG pipelines, fine-tuning, and agentic workflows
• Translate business problems into technical solutions by assessing data availability, feasibility, and GenAI alignment
• Support the complete AI development lifecycle from problem scoping through iteration
• Design and execute AI evaluation frameworks with quantitative metrics, A/B testing, sensitivity analysis, regression testing, and continuous quality monitoring
• Select, adapt, and optimize foundation models including OpenAI, Llama, and open-source models
• Conduct code and design reviews for generative AI developers
• Implement and manage AWS cloud deployments for high availability, scalability, and observability
• Maintain and enhance AI applications through data-driven iteration
• Monitor GenAI technology trends and recommend system improvements

Principal Software Engineer – AI Platform

Business Development Rep

• Drive revenue growth in the assigned market
• Execute strategic and tactical initiatives
• Provide ongoing practice management coaching and proactive ideas to Financial Advisors
• Coordinate local, regional, and national initiatives
• Maintain working knowledge of the Firm’s full suite of products and tools
• Position major product capabilities against suitable client needs and refer inquiries to appropriate internal partners
• Develop strategic and tactical business plans to drive positive results
• Grow and develop Financial Advisors’ practices through training, education, and one-on-one conversations
• Engage Product Partners to ensure Financial Advisors receive training and knowledge of existing and new tools and resources
• Deliver initiatives to branches, complex offices, and Financial Advisors through multiple methods
• Conduct desk-to-desk rollouts of key initiatives
• Perform deep-dive book reviews and segmentation
• Execute tactical campaigns
• Procure and facilitate outside resources

Business Development Manager

Analyst

• Prepare quarterly, monthly, and ad hoc analysis and client reporting for institutional and/or wealth management clients
• Perform detailed reviews of client deliverables
• Design, prepare, and review custom institutional client reports using FactSet, Excel, and Word
• Assist with designing tactical reporting solutions for new products
• Manage the timely and accurate delivery of all requests
• Investigate portfolio-specific inquiries
• Develop specialized knowledge of relevant Parametric products and strategies
• Uphold department reputation through professionalism, accuracy, responsiveness, and commitment to client service
• Develop working knowledge of the firm's structure, key personnel, policies, procedures, and professional services environment
• Collaborate with multiple departments and coordinate projects and tasks
• Assume other responsibilities as required

Analyst, Client Reporting – Parametric

Vice President

• Own and maintain enterprise workforce reporting and roster management processes
• Produce recurring headcount, attrition, hiring, and organizational-change reporting
• Support workforce forecasting, capacity planning, hiring targets, and organizational reviews
• Develop forward-looking workforce views for capacity, hiring trade-offs, resource allocation, and organizational risk
• Manage employee transitions, manager changes, job code alignment, hierarchy maintenance, and organizational restructuring
• Partner with HR and business leaders to ensure workforce data accuracy and reporting integrity
• Manage access provisioning, entitlement reviews, role updates, and employee onboarding activities
• Liaise between Risk, Technology, Compliance, and operational teams
• Coordinate EPR submissions, approvals, audits, and periodic reviews
• Support application onboarding, entitlement package development, and role-based access governance
• Conduct access remediation and assist with organizational risk assessments
• Develop and maintain operational dashboards, scorecard inputs, and workforce analytics
• Analyze attrition, employee movement, licensing populations, and organizational trends
• Translate workforce and operational data into leadership insights and strategic planning inputs
• Support leadership reporting and business reviews
• Identify automation opportunities and drive reporting process improvements
• Partner with offshore resources to document, transition, and scale recurring reporting activities
• Support level-up programs, talent reviews, organizational alignment, and career pathing efforts
• Consolidate and analyze performance data for workforce mobility decisions
• Coordinate with HR to validate employee eligibility and workforce readiness
• Act as a trusted advisor to business leaders on workforce, organizational, and access-related initiatives
• Partner across HR, Risk, Compliance, Technology, and Operations to execute strategic priorities
• Shape strategic roadmaps, governance routines, and operating models
• Lead process improvement focused on efficiency, scalability, governance, and transparency
• Document procedures and create sustainable operating models for recurring business processes

VP, Business Management

Financial Planning and Analysis

• Support Financial Advisors in business development and client engagement
• Partner with Financial Advisors to understand business goals and tailor client engagement strategies
• Build and execute digital and targeted client outreach strategies
• Create social media and website content
• Develop segmented client communication campaigns and structured communication cadences
• Analyze client relationships and engagement data
• Deliver tactical recommendations to enhance the client experience
• Support workplace engagement initiatives
• Apply financial planning tools to gather client information, build and analyze plans, and communicate results and next steps
• Educate clients on Morgan Stanley wealth solutions
• Support end-to-end onboarding to drive adoption of relevant capabilities
• Develop product and solutions fluency across advisory programs and select investment/insurance solutions
• Create and present business insights, reports, and readouts for Financial Advisors and leadership
• Share best practices to continuously improve strategy
• Complete licensing, training, assessments, and professional development during the program

Financial Planning Virtual Engagement Associate

Risk

• Perform supervisory, compliance, and risk functions for the Institutional Infrastructure Solutions Market
• Maintain a consistent control environment through adherence to business ethics, laws, Morgan Stanley policies, and regulations
• Keep Market Executives and senior business leaders informed of significant matters
• Manage risk, supervisory, and compliance functions for the Market
• Communicate and facilitate supervisory inquiries and escalations
• Coach and guide personnel on policies and procedures
• Ensure approvals and self-audit procedures are handled appropriately
• Manage Institutional Risk Officers and promote consistent supervisory practices
• Monitor and implement procedures covering data security and other risk areas
• Liaise with Legal and Compliance regarding customer complaints and litigation
• Ensure appropriate supervisory coverage across the Market
• Oversee Branch Supervisory Manual responsibilities and implementation of new policies
• Prepare for and respond to audits; remediate audit findings
• Monitor people risk and take appropriate action
• Provide risk intelligence regarding clients and Financial Advisors
• Participate in margin and credit decisions
• Work with the Special Investigation Unit on HR issues related to risk and compliance
• Facilitate compliance-policy training for personnel
• Run or assist with projects as needed
• Directly supervise Institutional Risk Officers

Senior Institutional Risk Officer

DevOps Engineer

• Design, develop, and maintain Python automation solutions to improve software delivery, engineering productivity, and operational efficiency
• Build and enhance CI/CD pipelines for build automation, testing, release orchestration, and deployment workflows
• Drive software modernization initiatives by reducing technical debt, standardizing engineering practices, and improving development processes
• Develop and maintain observability, telemetry, and engineering metrics solutions
• Implement and support containerized applications and platforms using Docker, Kubernetes, and OpenShift
• Build and integrate GenAI-enabled applications, automation tools, and developer workflows using LLMs, MCP tools, and agentic architectures
• Collaborate with globally distributed Agile teams to deliver scalable, maintainable, high-quality technology solutions

DevOps Developer

Customer Success Manager

• Support top Financial Advisors in business development and client engagement
• Partner with Financial Advisors to understand business goals and tailor client engagement strategies
• Build and execute digital and targeted client outreach strategies, including social media, website content, and segmented communication campaigns
• Develop structured communication cadences to increase meaningful client touchpoints and deepen relationships
• Analyze client relationships and engagement data to identify opportunities and recommend client-experience improvements
• Support workplace engagement initiatives and communicate the value of financial advisor partnerships
• Apply financial planning tools to gather client information, build and analyze plans, and communicate results and next steps
• Educate clients on Morgan Stanley wealth solutions and support end-to-end onboarding
• Develop product and solutions fluency across advisory programs and selected investment and insurance solutions
• Create and present business insights, reports, and readouts for Financial Advisors and leadership
• Participate in licensing, training, assessments, networking, and professional development throughout the two-year-and-three-month program

Client Engagement Virtual Engagement Associate – Program

Platform Engineer

• Act as a subject matter expert in delivering and operating reliable, performant, robust, and secure applications
• Serve as technical lead for key initiatives, influence technical strategy, drive best practices, and ensure successful delivery of business objectives
• Mentor and develop team members through coaching, knowledge sharing, and constructive technical guidance
• Design, document, create, and maintain highly available systems with development teams
• Partner with application development teams to create flows, processes, automation, and tooling
• Foster an environment of continuous experimentation and learning
• Contribute to the evolution of cloud-focused architecture to increase flexibility and ease of use
• Track technology trends and tools and recommend improvements
• Share experience, knowledge, and ideas to improve processes and productivity
• Provide tier 2 and tier 3 escalations for related issues and questions
• Consult and collaborate with cloud-native AWS/Azure and self-hosted application teams
• Automate provisioning of non-production environments for application development and testing
• Design, operate, and manage development toolchains and CI/CD pipelines
• Build and maintain Kubernetes container orchestration
• Provide observability through tools such as Datadog, Splunk, and Sentry

Lead Platform Engineer – Parametric

Executive

• Conduct inbound and outbound calls to stock option and share purchase plan executive-level participants
• Work with issuer executive teams on complex issues including establishing 10b5-1 plans, 144 filings, share gifting, and money movement
• Address customer needs and challenges sensitively, efficiently, and in a timely manner
• Use Shareworks and other online tools to respond to client inquiries
• Respond to participant complaints and resolve or appropriately escalate situations
• Achieve daily benchmarks for call volumes and response accuracy
• Follow established processes for privacy, compliance, and audit requirements
• Collaborate closely with team members and share information appropriately
• Build and maintain strong relationships with executive and C-Suite clients

Executive Services Specialist, Associate

Tech Lead

• Define, standardize, and govern metrics and KPIs tracking the firm's strategic technology priorities
• Develop leading and lagging indicators covering adoption, modernization, technology health, resilience, governance maturity, productivity, operational efficiency, platform convergence, and business value
• Establish consistent measurement approaches across technology strategy pillars
• Produce strategic insights, trend analyses, executive dashboards, and reporting
• Build self-service analytics environments evolving from static reporting to interactive, model-driven exploration
• Design and deliver technical architecture for aggregating, publishing, and querying enterprise strategy datasets
• Perform reconciliation, normalization, stewardship, lifecycle management, and repeatable publication of metrics
• Define semantic models, metadata standards, business glossaries, lineage requirements, and data quality controls
• Source and validate metrics from systems of record, program inventories, operating dashboards, and trusted enterprise data sources
• Incorporate resilience, technology-health, risk, control, and readiness indicators into the broader strategy narrative
• Partner with senior stakeholders and facilitate alignment across groups with differing priorities
• Curate proposed strategy metrics through adoption as finalized reporting measures

EAM – Tech Strategy Metrics & KPI Lead

• Manage cross-functional Executive Services initiatives from planning through execution
• Drive collaboration across internal business partners to advance Executive Services opportunities
• Manage and support a network of specialized Financial Advisors
• Coordinate across advisor teams, Field Management, and internal partners
• Interact with Financial Advisors to understand client needs, resolve issues, gather feedback, and improve advisor and client experiences
• Provide operational and strategic support, coordinate resources, develop materials, monitor open items, and resolve escalations
• Plan and execute training programs, including curricula, materials, presenters, logistics, sessions, and effectiveness measurement
• Support technology enhancement rollouts through requirements coordination, testing, communications, training materials, and feedback collection
• Identify and implement process enhancements across the Executive Services workstream
• Evaluate and improve end-to-end workflows with business, operations, technology, data, and compliance stakeholders
• Develop presentations, communications, and reporting on priorities, progress, feedback, and business insights
• Use data and performance indicators to assess adoption, outcomes, and optimization opportunities
• Participate in senior-level discussions and inform tactical execution and long-term Executive Services direction

Vice President, Executive Services

Full-stack Engineer

• Lead the design and development of Java/Spring-based services for the custody platform
• Ensure scalability, resilience, and maintainability of services
• Own technical architecture and drive design decisions across reconciliation, exception management, and data-processing workflows
• Guide and mentor engineering specialists through code reviews, pairing, and technical coaching
• Translate custody operations business requirements into technical designs and actionable engineering tasks
• Partner with QA, DevOps, and production support teams to ensure reliable releases and rapid resolution of production issues
• Drive engineering best practices including test automation, CI/CD, and secure coding standards
• Evaluate and integrate technologies and frameworks to improve system performance and developer productivity
• Collaborate with product, risk, and compliance teams to align technical delivery with regulatory and business priorities

Java Tech Lead

• Lead long-, medium-, and short-term demand forecasting models across multiple business lines and contact channels
• Translate business forecasts into staffing and capacity plans aligned with service, productivity, financial, and growth objectives
• Build forecasting models for volume, AHT, shrinkage, attrition, and occupancy
• Develop scenario-based forecasting and what-if models to assess operational, financial, and headcount impacts
• Build cross-skill and blended workforce models across channels and lines of business
• Monitor forecast accuracy and service-level performance, adjusting for seasonality, promotions, call-driving events, and business changes
• Own capacity, forecasting, and operational-effectiveness reporting for key stakeholders
• Evaluate WFM and AI tools and drive continuous process improvement
• Lead headcount planning and present recommendations to senior leadership
• Lead and develop capacity planning analysts
• Use advanced analytical techniques and complex data sets to identify trends, opportunities, and risks
• Deliver actionable insights for executive decision-making and strategic planning
• Establish analytical frameworks and performance metrics for operational effectiveness, capacity utilization, and client experience
• Apply statistical modeling, forecasting techniques, automation, machine learning, and emerging analytics technologies
• Ensure analytical integrity, data quality, and governance across forecasting and reporting
• Advise executive leadership on forecasting assumptions, capacity strategies, staffing implications, and business performance
• Collaborate with Operations, Finance, Technology, Risk, and Business Management
• Report to an Executive Director