Dir, P4, Lead Data & Analytics Eng : Job Level - Director

RMZ Ecoworld - Campus 6A, India

Morgan Stanley

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Profile Description

We’re seeking someone to join our team as (Director) Data Modeller who can be key architect of our Data Landscape, responsible for designing, developing and maintaining robust and scalable data models that support our business objectives.

WM_Technology

Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.

Analytics Intelligence & Data Technology

Analytics, Intelligence and Data Technology (AIDT) enables and drives strategic data initiatives and business capabilities across Wealth Management.

Software Engineering

This is Director position that develops and maintains software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

•Database design and Data Modeling experience
•Strong with SQL with hands-on using Data Modeling tools like Power designer or Erwin
•Experience in any one of the Database like Teradata, SQL Server, Hadoop Hive, Snowflake etc
•Understand and translate business needs into data models supporting strategic solutions.
•Create and maintain conceptual, logical and physical data models along with corresponding metadata.
•Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
•Recommend opportunities for reuse of data models in new environments.
•Perform reverse engineering of physical data models from disparate databases and SQL scripts.

What you’ll bring to the role:

• At least 2 years’ relevant experience would generally be expected to find the skills required for this role
•Evaluate data models and physical databases for variances and discrepancies.
•Validate business data objects for accuracy and completeness.
•Analyze data-related system integration challenges and propose appropriate solutions.
•Develop data models according to company standards.
•Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
•Review modifications to existing software to improve efficiency and performance.
•Examine new application design and recommend corrections as required

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.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Engineering Finance Hadoop Snowflake SQL Teradata UX

Region: Asia/Pacific
Country: India

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