Software Engineer Data Applications , Senior Associate , Research

About Morgan Stanley

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 42 countries. Everything we do at Morgan Stanley is guided by our five core values: Do the Right Thing, Put Clients First, Lead with Exceptional Ideas, Commit to Diversity and Inclusion, and Give Back.

What We Offer

Morgan Stanley offers a dynamic and multifaceted environment which requires individuals to work closely with colleagues across various functions and the Business Unit in onshore regions. You will get to work with extremely talented peers in a meritocratic team-oriented culture.

Description

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firm’s businesses to be the top in the market. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.

Morgan Stanley is looking to extend this tech-forward strategy to Equity Research, building a team focused on modernizing both how our analysts access the information they need and the tools they use to process it. This role affords the opportunity to get in on the ground floor, sitting with the business to help build the next-generation of development and deployment tooling across a diverse set of tech stacks and shaping the Equity Research process for the next decade. We’re looking for a forward-thinking software engineer who’s excited to build intelligent, high-impact, data-driven products.

The ideal candidate will bring strong experience in Python, data manipulation, JavaScript, Git, and basic server & internet protocol knowledge. Prior experience in the financial industry is not required; candidates from software companies are welcome

Key Responsibilities:

• Design, develop, and maintain Dash applications, including UI layouts, callbacks, and backend integrations.

• Perform data cleaning, transformation, and manipulation using Python (Pandas).

• Build and customize interactive features using JavaScript within Dash applications or external web contexts.

• Maintain, update, and deploy JavaScript based applications

• Automate data workflows and handle Excel/CSV file operations.

• Optimize application performance and debug multi-layer issues.

• Use Git for version control, branching strategies, pull requests, and team collaboration.

• Work within server environments to deploy, configure, and monitor applications.

• Apply understanding of internet protocols (HTTP, REST APIs, DNS basics, client–server architecture).

• Utilize Bash commands for scripting, environment setup, and automation.

• Collaborate across engineering, product, and analytics teams to deliver scalable solutions.

• Maintain clean, modular, well-documented codebases and follow best engineering practices.

Qualifications

• 3–5 years of industry experience in software or data applications development roles.

• Strong hands-on experience with:

  • Dash (Plotly Dash) development

  • Python + Pandas for data manipulation and backend development

  • JavaScript for web based applications and interactive features

• Proficiency with Git: branching, merging, pull requests, versioning workflows.

• Understanding of servers, hosting environments, and internet protocols (HTTP, REST, DNS, networking basics).

• Competency in Excel operations and data-processing automation.

• Experience with Bash commands for scripting and environment management.

• Familiarity with REST APIs, JSON formats, and data pipelines.

• Experience with Nginx/Gunicorn or similar server tools.

• Strong understanding of SQL, including query optimization, indexing basics, and relational schema design.

• Strong debugging, analytical, and problem-solving skills.

• Ability to work effectively in agile teams and communicate clearly.

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.

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.