Jobs
Benefits & Perks
•Competitive salary and equity package
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Flexible work arrangements
•Parental leave
•Equity
•Learning
•Healthcare
•Flexible Hours
•Parental Leave
Required Skills
React
PostgreSQL
Python
-
Jobs
-
View All Jobs
-
Companies
-
Advice
-
Coaching
-
Newsletter
-
Employers
-
Sign In
-
Saved Companies
-
Account Settings
-
Sign Out
Morgan Stanley
Lead Data & Analytics Engineer
- VP
3+ months ago• New York, NY
Viewed on February 1, 2026
Apply on company site
About Us
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals.
- Size: 10000+ employees
- Industry: Financial Services, Technology, Trading
View Company Profile:
Team Profile (Firmwide Data Office)
The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph - to solve complex business problems and deliver value to various business divisions.
The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier.
What You will do in the role:
- Participate in ontology creation, ontology management and semantic enrichment efforts Work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing.
- Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets.
- Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space
- Contribute to data architecture and data management strategy design
- Promote the creation of semantic data models and SPARQL endpoints to link quality data
- Work to develop processes and procedures to integrate taxonomies into the knowledge graph environment
- Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices
- Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications
- Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
- Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies
What You will bring to the role:
- Experience and expertise in W3C compliant semantic models experience (RDF, OWL and SPARQL)
- Experience with relevant ontology development tools and industry standard knowledge graph database tooling
- 5+ years complex enterprise scale data & metadata architecture experience
- Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment.
- Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audience
Desired Skills:
- Proficient in Python, Java, Jscript or other programming languages
- Experience in utilizing ontology in developing natural language processing solutions
- Experience utilizing graph data in a machine learning environment tools
- Experience in creating data validation processes using SHACL, SPARQL or other rule languages
- Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc. or in an Information Management framework
Education: Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.
Expected base pay rates for the role will be between $150,000 to $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Want more jobs like this?
Get jobs in New York, NY delivered to your inbox every week.
Email Address
Send me The Muse newsletters for the best in career advice and job search tips.
Get jobs!
By signing up, you agree to our
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- FSA
- Virtual Fitness Classes
- HSA
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Return-to-Work Program
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Leave of Absence
- Volunteer Time Off
- Personal/Sick Days
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Internship Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Apply on company site
Similar Jobs
- Lead Data Analytics Engineer
- Global Technology Analytics, Insights and MetricsJPMorgan Chase London, United Kingdom Lead Data Engineer
- Data Analytics Specialist Salesforce Mexico City, Mexico Lead Data Analytics Engineer
- Global Technology Analytics, Insights and MetricsJPMorgan Chase Palo Alto, CA
Suggested Searches
senior jobs Morgan Stanley jobs All jobs
Search Additional Jobs
Lead Data Analytics Engineer Jobs in New York, NYJobs in New York, NYThe Muse LogoA logo with "the muse" in white text.
of Use
-
Popular Jobs
-
New York Jobs
-
San Francisco Jobs
-
Seattle Jobs
-
Engineering Jobs
-
Marketing Jobs
-
Information Technology Jobs
-
Salaries
Get Involved
- For Employers
- The Muse Book: The New Rules of Work
- For Career Coaches
- Tell A Friend
Join The Conversation:
-
Facebook
-
LinkedIn
-
Twitter
-
Pinterest
-
Instagram
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Senior Banker - Apalachee Parkway Financial Center
Bank of America · Tallahassee, FL

Senior Analyst, Technology Regulatory Execution
Mastercard · O'Fallon, MO

Senior Specialist
Mastercard · Gurgaon, India

Senior BizOps Engineer, Data Analytics
Mastercard · O'Fallon, MO

Financial Solutions Advisor Registration Candidate - Sun Prairie Financial Center
Bank of America · Madison, WI
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
News & Buzz
Morgan Stanley Expands Crypto Offerings Across ETFs And E*TRADE Platform - simplywall.st
Source: simplywall.st
News
·
4w ago
This is Why Morgan Stanley Feels Atlassian Corporation (TEAM) is a Discount Play - Insider Monkey
Source: Insider Monkey
News
·
4w ago
Morgan Stanley Remains a Buy on Equifax Inc. (EFX) - Insider Monkey
Source: Insider Monkey
News
·
4w ago
KLA Corp. price target raised to $1,751 from $1,697 at Morgan Stanley - Yahoo Finance
Source: Yahoo Finance
News
·
4w ago