Jobs at Morgan Stanley

Leads EMEA travel and expense management, overseeing regional staff and vendors, corporate travel services, corporate cards, employee reimbursement, supplier contracts, KPIs, SLAs, risk, and business continuity. Partners with sourcing, legal, finance, technology, and global leadership to improve travel and expense services, support VIP travelers, optimize costs, and execute long-term strategy.

Lead end-to-end development of scalable Java and Angular applications supporting equity derivatives and structured products. Design distributed systems, REST APIs, microservices, and event-driven architectures; modernize legacy platforms; apply AI-assisted engineering; and lead architecture, testing, production support, and incident resolution. Partner with trading, sales, operations, risk, and technology teams globally while mentoring engineers, setting standards, and driving platform strategy.

Advise corporate clients on interest rate, foreign exchange, and other market risks. Analyze exposures, develop hedging strategies, and structure, price, and execute derivative transactions with Sales & Trading. Support financings, M&A, and strategic transactions while preparing client analyses and explaining complex financial concepts clearly.

Develop and support quantitative models for pricing, valuation, hedging, calibration, and risk management of exotic equity and hybrid derivatives. The role involves PDE solvers, diffusion models, numerical analysis, production model implementation, product analysis, and automation within a front-office trading environment. Candidates need an advanced quantitative degree, strong modeling and object-oriented programming skills, expertise in quantitative mathematics, and knowledge of equity derivatives.

Lead developer for low-latency, high-volume equities trading systems. Build, deploy and support algorithmic trading strategies and scalable trading engine infrastructure using core Java. Work across global trading, quant and IT teams through full SDLC to improve execution performance, analytics, messaging, and time-series analysis (KDB/q).

Perform assurance activities for EMEA Finance including audits, continuous monitoring and closure verification; adopt audit tools, analyze data for risks and anomalies, communicate findings, collaborate with stakeholders, and manage multiple deliverables.

Leads credit analysis for floating-rate leveraged loans, developing and managing portfolio recommendations. Responsibilities include fundamental credit research, financial modeling, valuation, stress testing, credit memo preparation, portfolio monitoring, loan-document analysis, due diligence, and collaboration with portfolio managers, traders, sponsors, advisors, and other market participants. The role requires strong leveraged finance expertise, communication skills, judgment, and knowledge of credit risk and regulatory frameworks.

As a Director in Internal Audit for Investment Management, you will lead risk assessments, audit activities, and stakeholder discussions, while utilizing AI and data analytics for insights.

Build and scale a secure enterprise AI development platform across cloud environments. Design cloud architectures, develop Python APIs and reusable generative AI solutions, deploy infrastructure with Terraform and CI/CD, create developer self-service tooling, and guide teams in adopting AI technologies, models, and frameworks.

Lead internal audit and assurance activities for Investment Banking and Global Capital Markets, including risk identification, control testing, continuous monitoring, closure verification, reporting, and stakeholder engagement. Analyze data and regulatory requirements to assess control environments, prioritize risks, manage deliverables, and support audit team development.

Maintain, deploy, troubleshoot, and modernize large-scale production Linux infrastructure. Build automation, improve reliability and operational efficiency, support trading system applications, and troubleshoot networking, performance, and kernel issues. Participate in global on-call rotations, change and incident management, documentation, infrastructure integration, and technical review forums while collaborating with engineering, development, operations, and project teams.

Senior HR Business Partner advising Institutional Equities and Research leaders across EMEA. Responsibilities include workforce planning, organizational design, succession, talent, performance, compensation, employee relations, restructuring, regulatory matters, workforce analytics, and inclusion. The role partners with senior stakeholders and global HR teams to deliver strategic people solutions in a complex, regulated financial-services environment.

Develop and support high-volume, low-latency electronic trading systems and delta-one algorithmic trading strategies. Responsibilities include Java development, trading engine infrastructure, analytical tools, signal generation, system performance optimization, and full software development lifecycle ownership. The role partners closely with trading, quantitative, and IT teams in a front-office environment and requires expertise in automated market making, electronic trading, Linux, and messaging technologies.

Leads quantitative analysis and automation for the cash equity trading business. Responsibilities include market and vendor data analysis, trader portfolio and P&L analysis, quantitative method automation, large-scale data processing, enriched dataset construction, and development of trading efficiencies. The role partners closely with traders and requires strong Python programming, database knowledge, Linux and shell scripting experience, portfolio optimization expertise, and practical equity-market experience.

Drive growth of electronic Rates sales by interfacing with clients, trading, e-strats and technology. Analyze e-trading performance, build client analytics and dashboards, support onboarding to electronic venues, manage client tiering, and partner on automation and platform enhancements to scale the eRates franchise.

Leads the design, implementation, maintenance, and continuous improvement of resilient infrastructure automation for algorithmic trading. Provides Linux-based electronic trading platform expertise, partners with development and infrastructure teams, manages technical risk, and supports scalable systems. The role includes technical leadership, mentoring engineers and SREs, full-lifecycle ownership, incident review, and adoption of SRE practices. Advanced Python, Unix/Linux, infrastructure automation, debugging, CI, Git, Jenkins, and software engineering expertise are required.

Provide legal coverage for real estate and infrastructure transactions, including M&A, takeovers, restructurings, financings, and joint ventures. Advise investment and transaction teams on fund governance, regulatory matters, financing, tax structuring, financial crime, contracts, distribution, investor onboarding, and fund operations. Support private-market product launches and assess legal and regulatory developments affecting the investment management platform.

Lead company, market, and industry research across EMEA Industrials, delivering analytics, benchmarking, transaction analysis, and actionable insights to internal financial-services clients. Build AI-enabled workflows and agents with validation, governance, and escalation controls. Partner with senior stakeholders across Investment Banking, Research, Investment Management, Sales & Trading, and Wealth Management while improving research processes and managing information products, vendors, and data suppliers.

The Client Financing Strategist role involves developing pricing models, trading applications in Python/Scala, and improving risk analytics while leveraging GenAI technologies.