Jobs
Benefits & Perks
•Healthcare
•401(k)
•Flexible Hours
•Learning Budget
•Healthcare
•401k
•Flexible Hours
•Learning
Required Skills
Python
LLMs
RAG
API design
Data pipelining
Cloud platforms
- We’re seeking someone to join our Analytics & Data tech team as a Python Software Engineer
- GenAI Platforms in Wealth Management Technology.
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 Software Engineer position 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:
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Design and build distributed, scalable, and reliable AI platforms and use cases
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Integrate with other platforms and data sources through designing and implementing APIs
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Collaborate with other teams to design and develop data tools that support both operations and product use cases.
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Prototype and showcase AI use cases
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Be able to complete Po Cs and smaller engagements on their own
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Perform analysis of data, logs, architecture requirements to support building of the platform and tools
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Evaluate technologies, participate in PoC and prototyping solutions to improve our capabilities
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Work with vector databases to build performant RAG solution
What you'll bring to the role:
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At least 6 years’ relevant experience would generally be expected to find the skills required for this role
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Hands-on programming Python (or Java with python at least) – ideally as backend/full stack engineer
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Experience designing and implementing large, distributed platforms
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Knowledge of various components of public and private cloud ecosystems and experience in applying them to practical problems
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Experience in data manipulation, pipelining and MPP systems and concepts
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Stable knowledge of base concepts and methods around LLMs (RAG, Prompting, etc)
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At least personal hands-on experience with LLMs
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Ability to drive ideas to end results by collaborating and involving the people needed to reach consensus
# #BPTECH
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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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About Morgan Stanley

Morgan Stanley
PublicA financial services company that offers securities, asset management, and credit services.
10,001+
Employees
New York
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
3.0
Compensation
2.5
Culture
3.2
Career
3.0
Management
3.0
35%
Recommend to a Friend
Pros
Skills evaluation through business plans and projects
Direct access to senior leadership interviews
Conversational interview format
Cons
Automated resume screening system issues
Focus on formatting over qualifications
Compensation concerns and salary expectations
Salary Ranges
11,766 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1,682 reports
$114,371
total / year
Base
$96,366
Stock
-
Bonus
$18,005
$77,808
$170,800
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 16%
Neutral 84%
Negative 0%
Interview Process
1
Initial screening (HR/HireVue)
2
Technical rounds
3
Manager/Senior leadership interviews
4
Final round/Superday
Common Questions
Technical knowledge assessment
Behavioral questions
Role-specific scenarios
Leadership and teamwork examples
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