Global Capital Markets Strat - Strats - Associate

Summary: Global Capital Markets Strats apply artificial intelligence, quantitative modeling, and data science to to identify and develop productivity, revenue generation, and risk reduction solutions for GCM globally. Strats are embedded alongside bankers and syndicate teams to provide quantitative analysis, improve execution efficiency, and develop innovative solutions that differentiate Morgan Stanley’s capital markets franchise. This is a highly dynamic, fast-paced role with global impact across the Global Capital Markets division. The successful candidate will combine technical expertise and financial intuition to identify opportunities where data, quantitative models, and AI can create measurable value for clients and the firm. Responsibilities include, but are not limited to the following: Perform data-driven analysis to provide strategic insights into industry trends, deal opportunities and client strategies. Leverage   AI and advanced analytics   to improve processes such as transaction analytics, deal screening, capital markets monitoring, and client deliverables. Drive AI usage and adoption by being a trusted in-house expert on best ways to deploy AI solutions to bankers and clients. Work closely with   sector coverage, derivatives coverage, and syndication teams   to deliver differentiated quantitative analysis for client pitches and live transactions. Build and maintain   software tools, dashboards, and analytics platforms   that enhance efficiency in client pitches, transaction execution, and internal reporting. Design and develop   scalable software libraries, data pipelines, and analytical frameworks   to support capital markets analytics. Own the lifecycle of data products, including data sourcing, architecture design, model implementation, and visualization. Communicate and manage strategic projects for senior bankers and leadership across regions, industry groups, and product teams. Requirements / Qualifications: Team player able to work effectively with coworkers (junior and senior), across regions, and industry verticals. Bachelor’s or advanced degree in Mathematics, Computer Science, Engineering, Statistics, Finance, Economics, or a related quantitative discipline. 4-+ years of work experience. Strong understanding of capital markets products, valuation, capital structure, and financing transactions. Proficiency in programming languages, such as Python, R, SQL, or Java. Experience with kdb+/q or other high-performance data systems is an advantage. Familiarity with front-end development languages and frameworks such as React. Experience working with large datasets and time-series financial data. Familiarity with AI/ML techniques and AI-assisted development tools is a plus. Excellent quantitative reasoning, statistical intuition, and problem-solving ability, with the ability to work under tight deadlines and manage multiple priorities. Strong communication skills with the ability to translate complex quantitative ideas into clear business insights. Demonstrated ability to manage projects and collaborate across global teams. Strong attention to detail and commitment to risk management, governance, and ethical conduct. Be able to present complex ideas and associated costs for alternative solutions. Act as a leader and role model to the team and others in the division. Ensure risk is mitigated through documented process controls and adherence to escalation matrices. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in