Hiring.Camp

Trading Strategy & Research Associate

Ms

·

Today

Location
1585 Broadway- NY, United States of America
Type
Full-time
Department
Education
Seniority
Entry
Source
Workday

Description

Morgan Stanley Investment Management (“MSIM”), together with its investment advisory affiliates, operates in 26 countries with $2 Tn in assets under management or supervision as of June 30, 2026. MSIM strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.


About the Team

The Trading Strategy and Research Team partners closely with investment teams, trading, risk, capital markets, and senior management to enhance portfolio implementation, execution quality, and operating scalability across the Global Equity & Multi-Asset business. The team sits at the center of the trading organization, translating strategy, market intelligence, third-party research, and data into actionable insights, robust execution, oversight frameworks, and scalable infrastructure.


About the Role

The role will conduct quantitative research focused on market dynamics, technical market signals, liquidity, and other factors that inform portfolio implementation and execution. Applying rigorous quantitative and statistical methods, the role will translate the team’s hypotheses into empirical insights, decision frameworks, and analytical tools that help shape the trading organization’s strategic perspectives and initiatives.

The role will have primary responsibility for the execution of this research, including sourcing and constructing datasets, developing appropriate methodologies, conducting statistical analysis, and validating findings. The resulting insights and frameworks will support the development of scalable approaches to portfolio implementation and execution.


Responsibilities

·        Conduct quantitative research on market behavior and trading dynamics to develop insights relevant to portfolio implementation and execution.

·        Translate research findings into analytical frameworks and practical applications that support the team’s strategic perspectives and initiatives.

·        Source, construct, and maintain datasets required to support research and analytical initiatives.

·        Develop quantitative models, analytical tools, and scalable processes to support research, portfolio implementation, and execution analysis.

·        Conduct bespoke analysis and prepare materials for portfolio managers, traders, senior management, committees, and other governance forums

·        Maintain high standards of analytical rigor, including disciplined methodology, validation, and interpretation of results.


Qualifications

·        Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Computer Science, Data Science, Economics, Finance, or another quantitatively rigorous discipline.

·        Strong foundation in statistics and quantitative analysis, including regression analysis, hypothesis testing, time-series analysis, and statistical inference.

·        Proficiency in Python and experience working with large datasets; familiarity with SQL or similar data tools is beneficial.

·        Ability to structure analytical problems, develop appropriate methodologies, and interpret quantitative results with a high degree of rigor.

·        Strong interest in financial markets, trading, market structure, and portfolio implementation.

·        Intellectual curiosity, strong analytical judgment, and attention to detail, with a willingness to challenge assumptions based on empirical evidence.

·        Strong written and verbal communication skills, with the ability to translate quantitative analysis into clear and practical insights.

Familiarity with financial market data, quantitative market analysis, and back-testing methodologies is beneficia

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 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $100,000 and $135,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

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.

Skills

PythonSQLData Science

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