Associate, Research

Morgan Stanley Group; New York (NY); Hybrid; USD 180,000 - 220,000; Full time

Job summary

Morgan Stanley, a global financial services leader, seeks an Associate, Research in New York to deliver rigorous financial analyses, build sector models, and test signals using quantitative methods. You will collaborate with sales, traders, and clients to share insights and drive investment ideas.

The role combines data science with finance, requiring deep ML/AI knowledge, strong programming skills, and the ability to translate complex data into actionable research notes for a worldwide client

Qualifications

• Requires a Master’s in Computational Finance, Financial Engineering, or a related field.
• Extensive experience with advanced ML/AI techniques and financial modelling.
• Proficiency in Python, SQL and data analysis tools is required.

Responsibilities

• Provide financial analysis reports and materials for industry-specific companies.
• Update and create financial models and assess stock valuations.
• Publish research notes and present findings to clients and colleagues.

Skills

Deep Neural Networks

Long Short-Term Memory (LSTM)

Convolutional Neural Networks

Tree-based Methods

PCA & Dimensionality Reduction

Regression (Lasso/Ridge/Logistic)

Time-series Modelling (ARIMA)

Financial Modelling & Analytics

Forecasting & Probability Theory

Data Set Evaluation & Back-testing

Geospatial Analysis

Python

Git

Linux

Q/KDB

SQL

MS Office

Education

Master’s in Computational Finance, Financial Engineering, or related field

Tools

Python

Git

Linux

Q/KDB

SQL

Job description

Company Profile: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In the Research division, we offer timely, integrated analysis of companies, sectors, markets, and economies, helping clients with their most critical decisions.

What you’ll do in the role:

Morgan Stanley & Co. LLC is seeking an Associate, Research in New York, New York to Provide financial analysis reports and materials for individual industries and sectors-specific companies. Analyze industry data to develop an industry-specific vision. Update and create financial models. Analyze emerging trends in an industry or macro-economy. Assess relative stock valuations and review findings with team as well as internal and external clients. Build relationships with global colleagues, salespeople, traders and external investing clients. Combine quantitative processes with fundamental insights to identify industry key performance indicator, develop sector-specific signals, build conviction on a call, predict stock returns, and track company specific risks. Develop, back-test, and implement statistics models, machine learning, and Al to test the efficacy of sector data. Explore and evaluate alternative data to gain insights into new alpha and develop trading strategies. Build tools to query, clean, analyze raw data through databases, and work closely with technology team to ensure data quality and delivery. Publish leading research insight notes and present at industry conferences. Actively source new ideas and collaborate with other research teams. Collaborate with sales and marketing, providing quant proof statements to both internal and external clients. Telecommuting permitted up to 1 day per week.

What you’ll bring to the role:

• Requires a Master’s in Computational Finance, Financial Engineering, or a related field of study.
• Requires any amount of experience with the following skills: Deep Neural Networks; Long Short-Term Memory (LSTM); Convolutional Neural Networks; Tree-based Methods including Decision Trees and Random Forest; Principal Component Analysis (PCA) and Dimensionality reduction; Lasso Regression, Ridge Regression, and Logistic Regression; Classification including k-Nearest Neighbor; Time-series Modelling including Autoregressive Integrated Moving Average (ARIMA)-based methods; Financial Modelling, Statistical Analysis, and Big Data Analysis; Forecasting and Probability Theory; Data Set Evaluation; Back-testing; Geospatial Analysis; Python, Git, Linux, Q/KDB, and SQL; MS Office Suite; Investment Report Writing; Microeconomics and Macroeconomics; and Stochastic Calculus

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 $200,000 and $200,000 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.

At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society.