Profile Description
We're seeking someone to join our CDRR team as a Senior Data Modeller, in Technology Risk. Candidate with strong experience in designing comprehensive logical and physical models accommodating for different views and audiences. The ideal candidate brings expertise conceptual, logical, and physical data models and experience with concepts of Data Governance and Data Taxonomies. This role requires strong ownership, problemsolving skills, and the ability to thrive in a fastpaced environment.
About Super Department
CDRR mission is to deliver first-line defences to manage Cyber and Fraud risks to Morgan Stanley's technology, operations and information through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally compliant manner. The team's vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adjust to address the risks presented by an evolving threat landscape and meet regulatory expectations.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data Modeller position at Vice President Level, which is part of the job family responsible for developing and maintains tooling solutions that support business needs.
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
- Document logical and physical Data Governance data model for the Firm's catalog
- Design capability to create multiple views of the Data Governance data model
- Map Data Governance data model to underlying data and derive associated metrics
- Work with product teams to explain Data Governance data model and ensure adherence of solutions
What You'll Bring To The Role
- 810 years of handson experience in data modelling
- At least 6 years relevant experience would generally be expected to find the skills required for this role.
- Strong knowledge of conceptual, logical, and physical data models.
- Programming experience in Python or Java
- Experience with data model documentation and visualizations/diagramming (preferably generated programmatically)
- Ability to analyse data requirements and develop data structures that meet business needs.
- Ability to explain complex solutions clearly to both technical and non-technical audiences
Preferred Skills
- Experience with Collibra asset model
- Experience in Data Governance and Data Taxonomy programmes
What You Can Expect From Morgan Stanley
At Morgan Stanley, we raise, manage and allocate capital for our clients helping them reach their goals. We do it in a way that's differentiated and we've done that for 90 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.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
