Data Modeling Specialist

Morgan Stanley•New York, NY

7d•$80,000 - $115,000

About The Position

We're seeking someone to join our team as a Data Modeling Specialist in NFR Data & Analytics to help execute on our data centric strategy. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is an Associate level position within the NFR Data & Analytics team who is responsible for establishing strong data governance, building and leveraging data analytics and executing on our data centric strategy. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: > Participate in Data Modeling related projects and working groups. > Support Non-Financial Risk management by deriving actionable insights > Manage taxonomies to categorize business data and support various business processes such as risk management, vendor management, financial management, or procurement. > Provide guidance to key stakeholders on how to adopt data governance best practices and/or leverage data to solve problems. > Enhance program processes where opportunities exist and perform analysis to support strategic projects that add value to LCD. > Maintain data quality standards and ensure compliance with regulatory requirements. What you'll bring to the role:? > Good written and oral communication skills. > Ability to work with global, cross-functional teams. > Direct experience in the financial services industry. > Strong understanding of data management. > Knowledge of semantic technologies, SKOS modeling, and experience using SPARQL. > Experience in the categorization and use of business data in support of business processes. > Familiarity with mainstream data processing and modeling programming languages (Python preferred). >At least 4 years' relevant experience would generally be expected to find the skills required for this role 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 $80,000 and $115,000 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).

Requirements

Good written and oral communication skills.
Ability to work with global, cross-functional teams.
Direct experience in the financial services industry.
Strong understanding of data management.
Knowledge of semantic technologies, SKOS modeling, and experience using SPARQL.
Experience in the categorization and use of business data in support of business processes.
Familiarity with mainstream data processing and modeling programming languages (Python preferred).
At least 4 years' relevant experience would generally be expected to find the skills required for this role

Responsibilities

Participate in Data Modeling related projects and working groups.
Support Non-Financial Risk management by deriving actionable insights
Manage taxonomies to categorize business data and support various business processes such as risk management, vendor management, financial management, or procurement.
Provide guidance to key stakeholders on how to adopt data governance best practices and/or leverage data to solve problems.
Enhance program processes where opportunities exist and perform analysis to support strategic projects that add value to LCD.
Maintain data quality standards and ensure compliance with regulatory requirements.

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