Jobs
Benefits & Perks
•Competitive salary and equity package
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Flexible work arrangements
•Team events and activities
•Equity
•Healthcare
•Flexible Hours
Required Skills
TypeScript
Node.js
React
Taxonomist-Data and Analytics:
Budapest
JR021000
We're seeking someone to join our team as an experienced taxonomist to assist with the development and management of taxonomies used within NFR. You will play a leading role in the design and development of an integrated suite of categories/taxonomies used within the Non-Financial Risk domain. You will have the opportunity to work with stakeholders across the organization to design and deliver a broad range of category types. This is an excellent opportunity for the right candidate to learn about Non-Financial Risk within the financial services industry.
You will be able to build your skills by working with other taxonomists, information scientists, and our Technology partners to deliver industry-leading solutions, including the adoption of machine learning and GenAI. Your work will directly support capabilities like semantic search, knowledge graphs, recommendation engines and question/answering capabilities.
As an experienced taxonomist you will help colleagues to develop and implement taxonomies in support of various business objectives.
Department Profile
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk.
The Non-Financial Risk ("NFR") Department forms the second line of defense for management of the firm's non-financial risks, which include Financial Crimes, market manipulation or abuse and Operational risk.
NFR Data & Analytics is a function in the Legal and Compliance Division responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like graph analytics. The surveillances and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
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:Technical Expertise:
- Proficiency in taxonomy management tools such as Smartlogic, Pool Party, and Topbraid.
- Experience with metadata standards and information architecture.
- Knowledge of semantic technologies, SKOS modeling, and experience using SPARQL.
Financial and Regulatory Knowledge:
- Strong understanding of financial terminology and data structures.
- Direct experience in the financial services industry or in an information science framework.
- Knowledge of regulatory requirements in the financial services sector.
Analytical and Data Skills:
- Experience in business/data analysis and concept/entity extraction to support taxonomy development.
- Experience in the categorization and use of business data in support of business processes such as risk management, vendor management, financial management, or procurement.
Project and Change Management:
- Experience in taxonomy change management and associated governance processes.
What we're looking for:
- Bachelor's degree in library science, information science, computer science or related discipline
- Experience with relevant taxonomy management tools
- 5+ years of taxonomy management experience in a corporation, government body or relevant organization
- Demonstrable experience in developing new taxonomies and managing changes to existing ones
- Excellent analytical and problem-solving skills.
- Proficiency in data management tools and software.
- Strong communication and collaboration skills
Skills that will help you in the role:
- Strong understanding of financial terminology and data structures.
- Experience with metadata standards and information architecture.
- Knowledge of regulatory requirements in the Financial services sector.
- Experience in taxonomy management tools such as Smartlogic, Pool Party, Topbraid
- Experience in business/data analysis and concept/entity extraction to support taxonomy development
- Experience in the categorization and use of business data in support of business processes such as risk management, vendor management, financial management or procurement
- Experience of taxonomy change management and associated governance processes
- Knowledge of semantic technologies, SKOS modeling and experience using SPARQL
- Direct experience in the financial services industry or in an information science framework
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.
Certified Persons Regulatory Requirements:
If t his 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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Vice President, Financial Crimes Compliance Data Analytics
BNY Mellon · Pittsburgh, PA, United States

Research Analyst - Quantitative and Derivatives
JPMorgan Chase · Mumbai, India

Data Analytics - Vice President
JPMorgan Chase · Mumbai, India

Liquidity Platform Business Analyst
BNY Mellon · London, United Kingdom

Marketing Campaign Planning & Analytics - Vice President
Citigroup · MUMBAI, Mahārāshtra, India
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