Morgan Stanley tech stack
Morgan Stanley builds mostly with Python, SQL, Java, JavaScript. Its stack also includes Linux, Unix, Angular, Snowflake. Python is named in 60 of the 145 job postings Morgan Stanley published in the last 12 months (41%). Counted by Alion from the job postings of Morgan Stanley, updated Sep 26, 2026.
What programming languages does Morgan Stanley use?
Python is named in 41% of job postings at Morgan Stanley, followed by SQL (25%), Java (22%), JavaScript (10%).
Python
60 41%
SQL
36 25%
Java
32 22%
JavaScript
14 10%
TypeScript
13 9%
Scala
9 6%
C#
9 6%
PowerShell
5 3%
Show all (19)
What frameworks and libraries does Morgan Stanley use?
Angular is named in 9% of job postings at Morgan Stanley, followed by Spring Boot (6%), LangChain (3%), FastAPI (2%).
Angular
13 9%
Spring Boot
8 6%
LangChain
5 3%
FastAPI
3 2%
Flask
3 2%
OpenTelemetry
3 2%
PyTorch
3 2%
Hadoop
3 2%
Show all (31)
What databases does Morgan Stanley use?
Snowflake is named in 8% of job postings at Morgan Stanley, followed by Db2 (7%), PostgreSQL (4%), Redis (3%).
Snowflake
12 8%
Db2
10 7%
PostgreSQL
6 4%
Redis
5 3%
MS SQL
4 3%
Oracle
3 2%
Cassandra
2 1%
MySQL
2 1%
Show all (15)
What cloud and platforms does Morgan Stanley use?
Linux is named in 13% of job postings at Morgan Stanley, followed by Unix (11%), AWS (11%), Kubernetes (11%).
AWS
16 11%
Kubernetes
16 11%
Azure
14 10%
Power BI
14 10%
Apache Kafka
11 8%
Tableau
8 6%
Show all (49)
And 9 more, each named in fewer postings.
What developer tools does Morgan Stanley use?
Microsoft Excel is named in 24% of job postings at Morgan Stanley, followed by Docker (11%), Copilot (9%), Git (8%).
Docker
16 11%
Copilot
13 9%
Git
12 8%
Rest API
12 8%
Jenkins
11 8%
Terraform
9 6%
Ansible
7 5%
Show all (37)
What AI and ML technologies does Morgan Stanley use?
LLM is named in 7% of job postings at Morgan Stanley, followed by Claude (3%), Gemini (1%), Llama (1%).
Which engineering practices does Morgan Stanley ask for?
CI/CD is named in 21% of job postings at Morgan Stanley, followed by AI Agents (10%), Prompt Engineering (8%), RAG (7%).
CI/CD
30 21%
AI Agents
15 10%
Prompt Engineering
11 8%
RAG
10 7%
Platform Engineering
8 6%
Incident Management
5 3%
Show all (31)
What does each Morgan Stanley team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Finance
31 postingsBackend
30 postingsLeadership
10 postingsSecurity
9 postingsData Science
8 postingsAnalytics
6 postingsHow does your stack fit Morgan Stanley?
How much does Morgan Stanley pay by technology?
Median stated pay of the postings that name each technology, against the median of all Morgan Stanley postings with stated pay: $165k across 62 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 25 | $205k | +24% |
| SQL | 16 | $169k | +2% |
| Java | 11 | $210k | +27% |
| AWS | 9 | $215k | +30% |
| Azure | 8 | $215k | +30% |
| Kubernetes | 7 | $215k | +30% |
| Unix | 7 | $200k | +21% |
| Snowflake | 6 | $213k | +29% |
| Apache Kafka | 6 | $173k | +5% |
| JavaScript | 6 | $172k | +4% |
How is the Morgan Stanley stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Morgan Stanley stack?
Morgan Stanley scores 83 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How common is the Morgan Stanley stack in its industry?
Share of the 449 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Morgan Stanley
Mitsubishi UFJ Financial Group
150 shared technologies
NICE
148 shared technologies
Huntington Bancshares
119 shared technologies
Depository Trust & Clearing Corporation
135 shared technologies
United Overseas Bank
130 shared technologies
Commonwealth Bank of Australia
138 shared technologies
Brillio
159 shared technologies
Barclays
173 shared technologies
Questions about the Morgan Stanley tech stack
What programming languages does Morgan Stanley use?
The languages named in Morgan Stanley job postings are Python (41%), SQL (25%), Java (22%), JavaScript (10%), TypeScript (9%), as a share of the 145 postings of the last 12 months.
Does Morgan Stanley use Angular?
Yes. Angular is named in 13 of 145 job postings (9%) and required in 11 of them.
What cloud and platforms does Morgan Stanley use?
The cloud and platforms named in Morgan Stanley job postings are Linux (19), Unix (16), AWS (16) (postings in brackets).
What skills do you need for a Finance job at Morgan Stanley?
Finance postings at Morgan Stanley most often require Microsoft Excel (18), Power BI (5), Alteryx (4), Python (4), out of 31 postings in the last 12 months.
Is the Morgan Stanley tech stack changing?
Yes. Azure DevOps, Hadoop, OpenShift, Datadog first appeared in Morgan Stanley job postings in the last six months.
How modern is the Morgan Stanley tech stack?
Morgan Stanley scores 83 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How does Alion know the Morgan Stanley tech stack?
Alion reads every job posting Morgan Stanley publishes and tags the technologies each one names. The figures on this page count the 145 postings of the last 12 months and were updated on Sep 26, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Morgan Stanley tech stack: 187 technologies from 145 job postings", as of Sep 26, 2026. https://alion.io/company/morgan-stanley/technologies