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JobsMorgan Stanley

Data Governance Associate - Parametric

Morgan Stanley

Data Governance Associate - Parametric

Morgan Stanley

Mumbai, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Professional development budget

Equity

Healthcare

Parental Leave

Learning

Required Skills

PostgreSQL

Python

JavaScript

ABOUT MORGAN STANLEY:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

ABOUT PARAMETRIC
Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.

This role is part of Parametric's hybrid working model, which requires working in the office 3 days a week and remotely the remaining days of the week.

ABOUT THE TEAM:

The Data Governance team is part of the Automation-Reinvention-Collaboration (ARC) team within Operations. The ARC team is core to the success of Parametric Operations and is inclined with vision of Ops2.0. This team works on identifying opportunities, developing prototypes, building custom solutions and implementations, e.g. providing automation and business intelligence support, as well as data expertise within programs and projects. ARC also works with core technology team as SME from Operations.

ABOUT THE ROLE:

This role will focus on Data Quality, and is pivotal in ensuring the accuracy, consistency, and reliability of the organization's data. This position requires a comprehensive understanding of data quality analysis, data profiling, and the identification and remediation of data quality issues. Additionally, the Data Governance Associate is responsible for supporting initiatives related to data cataloging and the maintenance of the data glossary. The role also involves passive observation and metrics reporting to monitor the firm's data quality.

PRIMARY RESPONSIBILITIES:

Data Quality Management

  • Define and implement data quality rules, metrics and thresholds within Data Governance policies.
  • Conduct data profiling, quality assessments and root cause analysis on critical datasets.
  • Develop and maintain data quality dashboards and reports to track key data health indicators.
  • Collaborate with business and technical stakeholders to understand data quality issues & drive remediation efforts.
  • Support the integration of data quality monitoring tools & maintain data quality issue logs and coordination resolution efforts with relevant teams.
  • Document and maintain data dictionaries and business rules.
  • Assist in data quality training and awareness initiatives across business units.

Data Cataloging and Lineage

  • Monitor and maintain data catalog metadata and the data glossary

Other

  • Ensure compliance with internal data governance standards and external regulatory requirements.
  • Support internal efforts to build out tools and processes related to Data Governance and Quality

Job QUALIFICATIONS:

Required Experience: 4 years

Skill set: MS SQL / Data management tools

Primary Skills

  • Bachelor’s degree in Computer Science, Data analytics, or related field
  •  4 years of experience in reference data, data quality, data management and/or data analysis
  • 1 years of hands-on experience in Microsoft SQL
  • Strong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity, and uniqueness)
  • Hands-on experience with data profiling and DQ tools such as Informatica or Collibra
  • Must have strong professionalism and communication skills
  • Displays excellent organization, time management, and planning skills
  • Cross-functional collaboration with business and technology stakeholders
  • Strong written and verbal communication skills; ability to deliver clear, effective communication and takes responsibility for understanding others
  • Strong analytical and problem-solving skills with keen attention to detail
  • Ability to understand business requirements and convert them into technological implementations

 Good to Have Skills

  • Experience with reporting tools like Power BI, Tableau or similar
  • Financial Industry experience

Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.

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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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