4+ years experience in financial services or technology
Expertise in semantic technologies rdf/owl concepts
Proficiency in sql sparql and python programming
The role involves collaborating with Technology and Data-Science teams to design data models and develop semantic capabilities within the Non-Financial Risk domain
Job Summary
The role involves collaborating with Technology and Data-Science teams to design data models and develop semantic capabilities within the Non-Financial Risk domain.
You will lead projects to deploy advanced semantic capabilities including search utilities and recommendation engines powered by Generative AI.
Morgan Stanley offers a dynamic environment where you can learn from industry experts while working with innovative technologies like graph analytics and supervised machine learning.
Matching Summary
The role involves collaborating with Technology and Data-Science teams to design data models and develop semantic capabilities within the Non-Financial Risk domain.
Skills & Requirements
Must-have
4+ years experience in financial services or technology
Expertise in semantic technologies RDF/OWL concepts
Proficiency in SQL SPARQL and Python programming
Experience with agile development methodologies
Deep understanding of data design methodologies
Nice-to-have
Background in operational risk management
Knowledge of taxonomy and ontology development
Experience with Knowledge Graphs and NLP
Collaborative mindset with subject matter experts
Passion for designing data-driven solutions
Key Requirements
Bachelor's degree required
Minimum 4 years of relevant professional experience
Experience in operational risk management or technology application design