Morgan Stanley’s Operational Risk Department (ORD) isseeking a strong quantitative background Data Scientist (Associate), based inShanghai, China.
This data scientistwill be tasked with processing and examining unstructured data, especially textdata, to glean key business insights with Knowledge Graphs, Natural LanguageProcessing and machine learning techniques.
The individual will play a critical strategic role insupporting the establishment and development of a data science taskforce out ofShanghai for Global ORD.
Primary responsibilities would include but are notlimited to :
Collecting large amounts of unruly data, both numericaland text, and transforming it into a more usable format
Solving business-related problems using data-driventechniques
Analyze order and patterns in data, as well as spottingtrends that can help mitigate risk
Perform daily qualitative review of risk data includinginternal / external incidents and Issues to identify risk themes and data qualityissues
Extracting and analyzing various operational risk data,such as incidents, metrics, issues and actions, scenarios, key controls andRisk Control Self Assessments (RCSA)
Presenting findings and analysis to support seniorcoverage teams’ decision making process
Contribute to the ORD Ontology Platformcapabilities using Semantic AI.
5+ years of experience working as a dataanalyst / scientist
Ph.D. from a quantitative discipline; Master with solidexperience on natural language processing and / or text analytics machinelearning will also be considered
Exposure and understanding of Semantic AI / KnowledgeGraphs
Strong project management skills with experienceworking on large global or multi-divisional or cross-functional projects
Strong technical skills with R, Python, Excel,PowerPoint, Tableau a plus
Ability to perform detailed analysis and present findingswith limited guidance
Ability to multi-task with attention to detail
Able to explain complex data stories to senior audienceusing plain language without jargons
Excellent written and verbal presentation skillsin English