We’re seeking someone to join our CDRR Technology team as a Python Gen AI develoeper, in Non-Financial Risk Technology to build GenAI solutions, agents, and tools for risk alerts and software development lifecycle products, agents, tools, skills, and more.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is Vice President position that develops and maintains software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

Staff, develop and lead one or more teams which is part of a department.- Analyze multiple sets of information to create summaries for various stakeholders.
Design, develop, and implement scalable solutions using primarily Python and some Java as part of an Agile squad delivering with a dynamic, global fleet and associated squads.
Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.Collaborate with global teams to translate business requirements into robust technical solutions.
Participate in Agile meetings, deliver project status, and adapt to evolving regulatory and business requirements.
Learn, improve, and apply Morgan Stanley's proprietary frameworks and best practices.
Write comprehensive tests to ensure code reliability and maintainabilityRespond proactively to change, mastering new technical and business concepts as needed.
Proven leadership and communication abilities; experience integrating, leveraging, and influencing teams, developers, and programs within a large enterprise

What you’ll bring to the role:

Relevant 8+ years of development and technical leadership experience with 5+ years of hands-on experience in Python.
Proven ability to write optimized, efficient, and clean code.GenAI Coding Assistant:
Experience with coding assistants like copilot, using Agent mode, Skills, etc.
Databases: Proficiency in RDBMS and NoSQL databases, preferably PostgreSQL, MongoDB, and related technologies.
SDLC Experience with DevOps practices:
CI/CD pipeline management, containerization, observability tools.
Analytical Skills: Ability to design and implement effective solutions to complex problems.
Teamwork & Communication: Strong work ethic, collaborative spirit, and clear communication skills, both oral and written.Testing:
Ability to write thorough unit tests covering all major logic components, preferably using coding assistant.

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.