Ms
Knowledge Management Specialist, Information Architecture
Budapest, Hungary
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →hirly's read of this role
- Seniority
- Mid level
- Country
- HU
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Structure knowledge. Enable smarter search. Help shape the future of a data centric organization.
Join Morgan Stanley’s Non-Financial Risk Data & Analytics team in Budapest and help transform complex risk information into connected, searchable, and actionable knowledge. You will design and manage enterprise taxonomies that support semantic search, knowledge graphs, recommendation engines, and AI-enabled question-answering solutions .
This is an exciting opportunity for an experienced taxonomist, information scientist, metadata specialist, knowledge manager, or data governance professional who wants to apply their expertise in a global financial-services environment. You will collaborate with business stakeholders, fellow taxonomists, information scientists, and Technology teams while building practical experience with machine learning, NLP, and GenAI .
The Non-Financial Risk Department provides independent oversight of risks including Financial Crimes, market manipulation or abuse, and Operational Risk. Within the team, NFR Data & Analytics develops advanced analytical solutions to help identify suspicious or prohibited behaviours.
What you’ll do
Design, develop, and maintain integrated taxonomies for the Non-Financial Risk domain
Translate complex financial, regulatory, and risk concepts into clear categories and relationships
Perform concept and entity analysis to improve classification and information discovery
Partner with Risk, Compliance, Data, and Technology teams to understand business needs and deliver scalable solutions
Establish taxonomy governance, documentation, quality standards, and change-management processes
Support the development of semantic search, knowledge graphs, recommendation engines, and AI-enabled capabilities
Explore how machine learning, NLP, and GenAI can enhance taxonomy creation, enrichment, and maintenance
Influence and shape taxonomy decisions while maintaining enterprise standards
What you’ll bring
3–5 years’ experience in taxonomy management, information science, knowledge management, metadata management, information architecture, data governance, or ontology development
A degree in Library Science, Information Science, Computer Science, Data Management, or a related discipline
Hands-on experience creating new taxonomies and managing changes to existing structures
Strong analytical and problem-solving skills, including concept or entity extraction and attention to detail
Experience with taxonomy management tools such as Smartlogic, PoolParty, TopBraid, or similar platforms
Knowledge of metadata standards, semantic technologies, or information architecture
Strong communication skills and confidence working with both business and technical stakeholders
An organised, collaborative, and curious mindset with a passion for improving how information is structured and discovered
Skills that would help you succeed
Knowledge of financial terminology, regulatory concepts, or Non-Financial Risk
Experience supporting risk management, vendor management, financial management, or procurement data
Familiarity with SKOS modelling, SPARQL, knowledge graphs, GenAI
Experience delivering taxonomy governance or change-management initiatives in a complex organisation
Why join us?
Build specialist expertise at the intersection of knowledge management, non-financial risk, data, and AI
Work on solutions that improve how complex information is classified, connected, and discovered
Collaborate with international experts across Risk, Compliance, Data Science, and Technology
Gain exposure to innovative capabilities including semantic search, knowledge graphs, machine learning, and GenAI
Grow your career in a supportive global environment that values curiosity, ownership, collaboration, and continuous learning
#LI-KP1
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 .
Similar jobs
- Customer Facing & Order Management SpecialistEssity · Budapest, HungaryFirst seen 3d ago
- Lead Order Management Specialist – Export Order Management and Fulfilment TeamThermofisher · Budapest, HungaryFirst seen 3d ago
- Lead Supply Chain Data Management SpecialistGevernova · 2 LocationsFirst seen 2d ago
- Property & Asset Management Specialist (m/w/d)DSV - Global Transport and Logistics · Meerbusch, Nordrhein-Westfalen, GermanyFirst seen today
- Govt. Tender & Bid Management SpecialistAurassure Private Limited · IndiaFirst seen today
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job