Graduate Vacancy at Morgan Stanley

Overview:

Morgan Stanley is hiring an experienced Associate – Data Masking Analyst – Investment Management (Parametric) at their Mumbai location. The Data Masking Analyst will partner with the Data Governance Manager to implement and support the mandated Morgan Stanley data masking program for Parametric. This role will engage with Parametric operational and technology teams, as well as the Morgan Stanley data governance team, to ensure the implementation meets internal requirements and is delivered on time. Communication of project status and updates to Data Governance management will be a key component of this work.

The complete details of this job are as follows:

Roles and Responsibilities:

The Ideal candidate should be able to:

• Work with internal Parametric business and technology data owners to identify and document any PII data fields in our non-Production data stores. This should be based on industry standard and Morgan Stanley standard sensitive data guidance.
• Review findings with all relevant data stakeholders to get agreement on fields in scope.
• Define masking rules for each field based on standard masking guidelines.
• Partner with the Delphix tool lead to create, test, and implement these rules for each data set in scope.
• Act as the SME for the Data Masking project, report status updates and risks to the Data Governance Manager and project team.

Eligibility Criteria:

Required Experience: 4+ years

Skill set: Sensitive data management, including prior data masking experience

Primary Skills

• Undergraduate degree required, Economics, Finance, Technology or related field strongly preferred
• 4+ years of professional experience within business functions such as Data, Technology, Finance, or Operations.
• 2+ years’ experience working with the identification and masking of sensitive data / PII.
• 2+ years’ experience with data management tools.
• Comfortable working in a fast-paced environment with shifting priorities
• Strong written and verbal communication skills
• Team player, able to work effectively across the firm to deliver results
• Good to Have Skills:
• Knowledge of financial industry data and best practices
• Experience with data masking tools such as Delphix
• Handling the data using SQL, Python, Python and Jason.

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