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.

Position Description

We are looking for a candidate with experience building ontologies and semantic data architecture to join our NFR Data & Analytics team and assist in developing ontologies and helping promote linked data within the Firm.

As an Ontologist, you will implement ontologies and knowledge graphs to achieve rich data representation, enhanced metadata management and promote linked data at the Firm in partnership with Technology and various business teams.

Responsibilities:

• Participate in ontology creation, ontology management and semantic data enrichment efforts.
• Contribute to data architecture and data management strategy design.
• Build new semantic data models, develop processes and procedures to integrate taxonomies into the knowledge graph environment.
• Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space.
• Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices.
• Participate in relevant industry and governance groups.

Required Skills:

• Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline.
• 5 years' experience and expertise in W3C compliant semantic models experience (RDF, OWL, SHACL and SPARQL).
• Experience with relevant (SKOS-based) taxonomy and ontology development tools (such as Protege) and industry standard knowledge graph databases.
• Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge graph environment.

Helpful/Desirable Skills:

• Experience in business/data analysis and data extraction from relational contexts.
• Experience in creating data validation processes using SHACL, SPARQL or other rule language.
• Experience in utilizing ontology in developing natural language processing solutions.
• Experience utilizing graph data in a machine learning environment tools.
• Direct experience in the financial services industry or in an information management framework

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).

Expected base pay rates for the role will be between $85,000.00 and $135,000.00 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.