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.
Skills Required
- Master's degree in Computational Finance, Financial Engineering, or a related field
- Experience with deep neural networks, LSTM, convolutional neural networks, tree-based methods, PCA, dimensionality reduction, Lasso, Ridge, Logistic Regression, and k-nearest neighbor classification
- Experience with time-series modeling, including ARIMA-based methods
- Experience with financial modeling, statistical analysis, big data analysis, forecasting, probability theory, dataset evaluation, and back-testing
- Experience with geospatial analysis, stochastic calculus, microeconomics, and macroeconomics
- Experience with Python, Git, Linux, Q/KDB, and SQL
- Experience with Microsoft Office Suite and investment report writing
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Healthcare Strength — Health offerings appear broad, including medical, dental, vision, prescription coverage, HSA/FSA options, free One Medical membership, care advocates, second opinions, and substantial mental-health support with multiple no-cost sessions. Additional resources such as Headspace, virtual physical therapy, and fitness subsidies enhance overall wellbeing coverage.
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Parental & Family Support — Policies include 16 weeks of paid parental leave for all parents, additional pregnancy-related medical leave, and four weeks of paid leave to care for a seriously ill family member. A lifetime family-building benefit of up to $75,000 for adoption, surrogacy, and fertility expenses adds meaningful value.
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Retirement Support — Retirement and financial programs feature a 401(k) with a competitive match alongside employee stock-purchase opportunities and 529 plan matching. Additional resources include financial-wellness tools, student-loan refinancing, and various insurance options.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
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