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About the Role

Global Capital Markets Strats apply artificial intelligence, quantitative modeling, and data science to identify and develop solutions for productivity, revenue generation, and risk reduction 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 dynamic, fast-paced role with global impact, requiring a blend of technical expertise and financial intuition to create measurable value.

Responsibilities

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

Team player able to work effectively with coworkers (junior and senior), across regions, and industry verticals.
Strong understanding of capital markets products, valuation, capital structure, and financing transactions.
Experience working with large datasets and time-series financial data.
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.

Skills

Artificial intelligence
Quantitative modeling
Data science
Python
R
SQL
Java
kdb+/q
React
AI/ML techniques
AI-assisted development tools

Location

Global

Work Type

Full-time

Experience Level

4+ years of work experience

Education Level

Bachelor’s or advanced degree in Mathematics, Computer Science, Engineering, Statistics, Finance, Economics, or a related quantitative discipline.

Benefits

Attractive and comprehensive employee benefits and perks

About the Company

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals.
We have been differentiating our approach for 90 years.
Our values include putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back.
We support employees and their families at every point along their work-life journey.
There is ample opportunity to move about the business for those who show passion and grit in their work.
Learn more about our offices across the globe at https://www.morganstanley.com/about-us/global-offices.

Equal Opportunity

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.
Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.