Jobs at Morgan Stanley

Leads internal audit and assurance activities across capital markets underwriting businesses. Evaluates risks, controls, governance, and emerging risks across equity and debt products; communicates actionable findings to management; partners with global stakeholders; oversees audit projects and deliverables; applies audit methodology and data analysis; and coaches team members.

Support Private Markets and EquityZen through executive reporting, dashboards, performance analysis, forecasting, and business insights. The role develops KPIs, validates data, identifies trends and growth opportunities, improves reporting processes, and coordinates cross-functional projects. Responsibilities include translating customer, product, pipeline, and operating data into recommendations for senior Wealth Management stakeholders while maintaining strong controls, documentation, and data accuracy.

Morgan Stanley seeks a Machine Learning Researcher to solve critical problems with innovative research. Responsibilities include applying machine learning techniques and strong communication skills within a collaborative team. Ideal candidates have 4+ years of research experience and proficiency in statistical learning methods.

The Equity Research Associate will maintain financial models, write research reports, analyze industry news, and engage with investors.

Lead execution of Morgan Stanley’s Advisor Legacy Program, supporting advisor retirements, client and advisor retention, book reviews, economic modeling, stakeholder alignment, policy execution, training, risk coordination, executive reporting, and strategic process improvements. The role translates data into recommendations, develops AI-enabled automation, partners with corporate functions, and may manage people.

Lead global financial crimes audit activities, assessing BSA/AML risks and internal controls. Identify emerging risks, provide actionable insights to management, collaborate with global stakeholders, and oversee audit projects and deliverables. The role also involves applying audit methodology, analyzing data, supporting change initiatives, and coaching team members.

Leads the design, implementation, operation, and automation of enterprise cryptographic services, including PKI, HSMs, certificate lifecycle management, and secrets management. The role supports 24/7 operations, incident response, cloud and enterprise integrations, architectural decisions, and post-quantum cryptography adoption. It also mentors junior engineers and drives security improvements across the organization.

Lead strategic initiatives to simplify and modernize Wealth Management Finance processes, data, reporting, and systems. Manage projects, drive requirements, testing and readiness, partner with Technology and business leaders, leverage analytics and AI, assess new business opportunities, mitigate risks, and deliver executive communications while fostering continuous improvement and stakeholder alignment across the Wealth Management Finance organization.

Leads the design, deployment, support, and modernization of large-scale enterprise networks across data centers, campuses, WAN, Internet Edge, hybrid cloud, and market connectivity environments. Provides Tier-3 incident leadership, architects low-latency and resilient infrastructure, drives network automation and Infrastructure-as-Code, and leads security remediation, vulnerability management, migrations, and compliance initiatives. Partners with engineering, security, cloud, application, service provider, and vendor teams.

Build and operate scalable backend services and APIs using Java and Python. Design distributed, event-driven systems; address performance, reliability, consistency, and resilience; and own services through deployment and production support. Apply object-oriented design, Spring Framework concepts, databases, caching, messaging, observability, security fundamentals, testing, and CI/CD. Collaborate with globally distributed teams and business stakeholders while solving ambiguous engineering problems.

Leads Morgan Stanley’s AI Challenge Lab, overseeing stakeholder engagement, use-case selection, AI adoption, program operations, governance, and impact tracking. Partners with executives, Technology teams, mentors, and participants to move AI opportunities from concept through implementation. Manages cohorts, logistics, milestones, risks, communications, reporting, adoption metrics, and continuous improvement while scaling the program across businesses and regions.

Lead U.S. implementation and go-live readiness for FRTB Standardized and Internal Models Approaches within Market Risk Capital. Define tooling, reporting, data, controls, governance, and operating-model requirements; coordinate Risk, Finance, Technology, Business, and Analytics stakeholders; support Basel 2.5 capital production; analyze RWA drivers; and engage regulators, auditors, consultants, and validation teams during examinations and reviews.

Supports financial forecasts, budgets, long-term planning, balance sheet and P&L analysis, capital planning, regulatory stress testing, management reporting, and financial modeling for Morgan Stanley’s U.S. Banks. The role prepares analyses for senior management, boards, and regulators; identifies risks; contributes to governance, process improvement, and automation; and collaborates with FP&A, Treasury, Risk, Controllers, and business units.

Lead engineering teams building secure, scalable digital asset custody and blockchain platform capabilities. Define roadmaps for wallet and key management, blockchain connectivity, transaction processing, tokenization, and settlement. Architect integrations with custody providers, blockchain networks, and enterprise systems. Own security-by-design, production reliability, CI/CD, observability, incident management, disaster recovery, and compliance controls while mentoring engineers and partnering across cybersecurity, risk, legal, operations, and product teams.

Lead end-to-end software and data engineering projects, including requirements gathering, planning, design, ETL development, database migration, testing, deployment, and operational support. Develop SQL, stored procedures, workflows, batch jobs, and Python solutions; analyze data and troubleshoot failures through root cause analysis. Collaborate with business and technology stakeholders in Agile Scrum environments to prioritize work, manage risks, and deliver reliable technical solutions.

Design, deploy, and operate ultra-low latency market data and trading networks. Optimize multicast and TCP/IP behavior, perform packet-level and Corvil/cPacket analysis, integrate FPGA/NIC acceleration, lead incident response, design resilient Cisco/Arista datacenter architectures, and drive automation (Python/Ansible) for deterministic, high-throughput trading systems.

Leads Morgan Stanley’s global internal audit strategy for cybersecurity, information security, and cyber resilience across the Firm and banking entities. Directs risk-based coverage of AI, digital assets, quantum readiness, cloud, identity, network, data, incident response, resilience, and third-party security. Evaluates controls against regulatory and industry frameworks, oversees findings and remediation, advises senior management, regulators, the Board, and Audit Committee, and manages and develops a global audit team.

Leads the analytics strategy for Financial Planning within Wealth Management. Builds scalable data infrastructure, reporting, dashboards, KPI frameworks, and advanced analytics to improve client engagement and planning effectiveness. Partners with business, technology, sales, risk, legal, and compliance teams to unify data, establish governance, and resolve data gaps. Leads analytics automation and AI adoption while managing, mentoring, and scaling an analytics team and offshore resources.

Develop, maintain, and improve quantitative pricing models for fixed-income products. Support trading and risk management through pricing, hedging, and analytics. Partner with traders, sales teams, controllers, model risk groups, and technology teams to explain market dynamics, develop business opportunities, document models, and secure approvals. Apply stochastic calculus, mathematical finance, credit and interest-rate derivatives modeling, Monte Carlo simulations, Python, and C++ in a front-office environment.

Reviews and validates internal liquidity stress testing and net interest income sensitivity models across global markets. Challenges model assumptions, assesses model limitations and risks, develops monitoring and compensating controls, prepares validation reports, responds to regulatory and audit requests, and communicates findings to senior stakeholders and governance committees. Collaborates with model risk, treasury, finance, regulatory, and risk teams across the model lifecycle.