Lead Data & Analytics Engineer - VP at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

210000.0

Posted On

05 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ontology Creation, Semantic Enrichment, Natural Language Processing, Data Validation, Data Architecture, Semantic Data Models, SPARQL, Machine Learning, Data Management, Graph Technologies, Problem Solving, Communication, Python, Java, Jscript, Financial Services

Industry

Financial Services

Description

Team Profile (Firmwide Data Office) The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph - to solve complex business problems and deliver value to various business divisions. The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier. What You will do in the role: Participate in ontology creation, ontology management and semantic enrichment efforts Work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing. Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets. Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space Contribute to data architecture and data management strategy design Promote the creation of semantic data models and SPARQL endpoints to link quality data Work to develop processes and procedures to integrate taxonomies into the knowledge graph environment Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies What You will bring to the role: Experience and expertise in W3C compliant semantic models experience (RDF, OWL and SPARQL) Experience with relevant ontology development tools and industry standard knowledge graph database tooling 5+ years complex enterprise scale data & metadata architecture experience Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment. Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audience Desired Skills: Proficient in Python, Java, Jscript or other programming languages Experience in utilizing ontology in developing natural language processing solutions Experience utilizing graph data in a machine learning environment tools Experience in creating data validation processes using SHACL, SPARQL or other rule languages Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc. or in an Information Management framework Education: Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline 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. Expected base pay rates for the role will be between $150,000 to $210,000 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. 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).

Responsibilities

The role involves participating in ontology creation and management, as well as collaborating with various teams to translate business requirements into innovative solutions. Additionally, the position focuses on developing processes for data validation and integrating taxonomies into the knowledge graph environment.