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Data Modeler_Director P4_Data & Analytics

Morgan Stanley

Data Modeler_Director P4_Data & Analytics

Morgan Stanley

Bangalore, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Flexible work arrangements

Competitive salary and equity package

401(k) matching

Professional development budget

Comprehensive health, dental, and vision insurance

Flexible Hours

Equity

Learning

Healthcare

Required Skills

Python

Node.js

JavaScript

JOB LEVEL

Director

TIER

P4

We’re seeking someone to join our team as (Director) Data Modeler 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.

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 Data Modeler on the AI platform position at Associate level, which is part of data & analytics Engineering job family that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models,  optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

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.

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 5 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.

Internal Applicants

Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.

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About Morgan Stanley

Morgan Stanley

A financial services company that offers securities, asset management, and credit services.

10,001+

Employees

New York

Headquarters

Reviews

3.5

4 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

3.2

Career

3.0

Management

3.0

35%

Recommend to a Friend

Pros

Skills evaluation through business plans and projects

Direct access to senior leadership interviews

Conversational interview format

Cons

Automated resume screening system issues

Focus on formatting over qualifications

Compensation concerns and salary expectations

Salary Ranges

11,766 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

1,682 reports

$114,371

total / year

Base

$96,366

Stock

-

Bonus

$18,005

$77,808

$170,800

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 16%

Neutral 84%

Negative 0%

Interview Process

1

Initial screening (HR/HireVue)

2

Technical rounds

3

Manager/Senior leadership interviews

4

Final round/Superday

Common Questions

Technical knowledge assessment

Behavioral questions

Role-specific scenarios

Leadership and teamwork examples