✦ Luna Orbit — AI & Machine Learning

Global Capital Markets Strat - Strats - Vice President

at Morgan Stanley

📍 New York, New York, United States of America Unknown 💰 $225K – $250K USD / year Posted April 15, 2026
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Position Details

Salary $225K – $250K USD / year
Type Full-Time
Experience executive
Exp. Years 4-+ years
Education Bachelor's or advanced degree in Mathematics, Computer Science, Engineering, Statistics, Finance, Economics, or a related quantitative discipline
Category AI & Machine Learning

About this role

Global Capital Markets Strats applies AI, quantitative modeling, and data science to identify and develop solutions that improve productivity, revenue, and risk reduction across the division. The role embeds with bankers and syndicate teams, building analytics platforms, dashboards, and software tools while owning the lifecycle of data products.

Key Responsibilities

  • Perform data-driven analysis for industry trends and deal opportunities
  • Leverage AI and advanced analytics for transaction analytics, deal screening, and monitoring
  • Build and maintain software tools, dashboards, and analytics platforms
  • Design scalable software libraries, data pipelines, and analytical frameworks
  • Own the lifecycle of data products including data sourcing, architecture design, model implementation, and visualization

Technical Overview

Responsibilities include leveraging AI and advanced analytics for transaction analytics, deal screening, and capital markets monitoring, and building scalable software libraries and data pipelines. The technical environment centers on programming with Python, R, SQL, or Java, with advantage for kdb+/q and familiarity with React.

Ideal Candidate

The ideal candidate is a quantitative AI/strats professional with 4+ years of experience applying artificial intelligence, quantitative modeling, and data science to capital markets workflows. They are proficient in at least one of Python, R, SQL, or Java, have strong capital markets product knowledge (valuation, capital structure, financing), and can build software tools, dashboards, and scalable data pipelines that drive measurable improvements for Global Capital Markets teams.

Must-Have Skills

Bachelor's or advanced degree in MathematicsComputer ScienceEngineeringStatisticsFinanceEconomicsor a related quantitative discipline4-+ years of work experienceStrong understanding of capital markets productsvaluationcapital structureand financing transactionsProficiency in programming languagessuch as PythonRSQLor JavaPerform data-driven analysisLeverage AI and advanced analytics to improve processes such as transaction analyticsdeal screeningcapital markets monitoringand client deliverablesBuild and maintain software toolsdashboardsand analytics platformsDesign and develop scalable software librariesdata pipelinesand analytical frameworksOwn the lifecycle of data productsincluding data sourcingarchitecture designmodel implementationand visualization

Nice-to-Have Skills

kdb+/qfront-end development languages and frameworks such as ReactExperience with kdb+/q or other high-performance data systems

Tools & Platforms

PythonRSQLJavakdb+/qReact

Required Skills

artificial intelligencequantitative modelingdata sciencedata-driven analysisAI and advanced analyticstransaction analyticsdeal screeningcapital markets monitoringsoftware toolsdashboardsanalytics platformsscalable software librariesdata pipelinesanalytical frameworksdata products lifecycledata sourcingarchitecture designmodel implementationvisualizationPythonRSQLJavakdb+/qReactcapital markets productsvaluationcapital structurefinancing transactions

Hard Skills

artificial intelligencequantitative modelingdata sciencedata-driven analysisAI and advanced analyticstransaction analyticsdeal screeningcapital markets monitoringsoftware toolsdashboardsanalytics platformsscalable software librariesdata pipelinesanalytical frameworksdata product lifecycledata sourcingarchitecture designmodel implementationvisualizationprogramming languages such as PythonRSQLor Javakdb+/qhigh-performance data systemsReact

Soft Skills

team playerwork effectively with coworkers across regionsfinancial intuitioncommunicationmanage strategic projectstrusted in-house expertdrive AI usage and adoption

Industry & Role

Industry Banking
Job Function Apply AI and quantitative analytics to build data products and software tools for Global Capital Markets.
Role Subtype AI Engineer
Tech Domains AI & Machine Learning, Python, SQL / PostgreSQL, JavaScript, React

Keywords for Your Resume

Global Capital Markets StratStratsVice PresidentGlobal Capital MarketsGCMartificial intelligencequantitative modelingdata sciencedata-driven analysisAI and advanced analyticstransaction analyticsdeal screeningcapital markets monitoringclient deliverablesAI usage and adoptiontrusted in-house expertsoftware toolsdashboardsanalytics platformsscalable software librariesdata pipelinesanalytical frameworksdata products lifecycledata sourcingarchitecture designmodel implementationvisualizationPythonRSQLJavakdb+/qhigh-performance data systemsReactcapital markets productsvaluationcapital structurefinancing transactions

Deal Breakers

Must have 4-+ years of work experience, Must have strong understanding of capital markets products, valuation, capital structure, and financing transactions, Must be proficient in programming languages such as Python, R, SQL, or Java, Must have a relevant quantitative degree

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