Python Developer
AI in this role
We're seeking someone to join our Global Sustainable Technology team as a Python Developer in Non-Financial Risk Technology to build global firm best-in-class data onboarding and processing, timeliness, completeness, and accuracy reporting and alerting, improve scalability of data quality and pipeline with AI techniques, innovate in the broader GSO Tech stack, and contribute broadly to the firmwide technology program.
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 a Python Developer position at Director level, which is part of the job family responsible for developing and maintaining 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:
- Deliver complex projects and features end to end, from design and development through testing, deployment, and production support.
- Develop and maintain platform services, primarily using Python, while contributing across the full stack, including Angular/React front ends.
- Manage and optimize relational databases (RDBMS), including schema design, query performance, and data quality.
- Own releases and deployments, supporting CI/CD pipelines, SDLC controls, and change management processes.
- Participate in platform support activities, including incident management, root cause analysis, bug fixes, and continuous improvements.
- Improve application performance, maintainability, observability, documentation, and operational excellence.
- Collaborate closely with engineers, technical leads, and cross-functional teams to deliver shared outcomes.
Technical Quality & Collaboration:
- Contribute to the design and delivery of scalable, secure, and reliable software solutions.
- Promote engineering best practices through code reviews, design discussions, debugging, performance tuning, and knowledge sharing.
- Demonstrate adaptability across backend, frontend, and database technologies as business priorities evolve.
- Partner with teams across the organization to resolve dependencies and drive successful delivery.
- Utilize AI-assisted software development tools responsibly and effectively throughout the development lifecycle.
- Technology stack you will work with:
- Backend: Python and general-purpose server-side development.
- Database: Relational databases (RDBMS)
- Job scheduling & automation: Batch/workload scheduling and automated background jobs.
- Version control & collaboration: Git-based workflows, branching, and pull-request reviews.
- Delivery & quality: CI/CD pipelines, containerized deployments, automated testing (unit and end-to-end), and static analysis/code-quality tooling
What you’ll bring:
- Solid grasp of software design principles and design patterns, with a focus on clean, maintainable code.
- Working knowledge of basic system design — structuring components, APIs, and data flows for reliable, scalable solutions.
- A track record of feature implementation and end-to-end ownership, from design through production.
- Comfort with code optimization and refactoring to improve performance and reduce technical debt.
- Understanding of beneficial and appropriate AI use in the software development lifecycle.
#BP-TECH #BP-HYBRID #LI-FT1
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.
Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
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.
How we rate this
Python Developer at Morgan Stanley rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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