Morgan Stanley Hiring Drive 2024 For Associate – PSG Data Analyst (Investment Management) | Location Mumbai

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Morgan Stanley Hiring Drive 2024: Morgan Stanley Hiring Drive 2024 for its Associate – PSG Data Analyst (Investment Management). Morgan Stanley Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree (a Master’s degree would be a plus) in Accounting, Finance, Business, Science, or related fields. if you are interested, please apply as soon as possible.

Company Name: Morgan Stanley

Role: Associate – PSG Data Analyst (Investment Management)

Location: Mumbai

Experience: 1-3 years

Qualification: Bachelor’s degree (Master’s degree would be a plus) in Accounting, Finance, Business, Science or related fields

Batch: Any

Job Type: Full Time

Salary: 15.1 LPA (Expected)

Morgan Stanley Hiring Drive 2024

Job Description:

  • We are looking for career-minded professionals with global perspective to join the Mumbai Based Database Analyst, Portfolio Solutions Group.
  • The Portfolio Solutions Group is a comprehensive multi-asset business, with activity across all asset strategies and types (traditional and alternative), through solutions that span fully liquid (public assets), comprehensive (public and private assets) and fully private portfolios.
  • The role requires a self-motivated independent thinker who enjoys solving complex problems.

Requirements:

  • In depth knowledge of the global investment management industry.
  • Bachelor’s degree (Master’s degree would be a plus) in Accounting, Finance, Business, Science or related fields
  • The ability to work effectively in a thoughtful, collaborative team environmentStrong communication skills,
  • being able to interface effectively with bright quantitative colleagues as well as non-technical audiences
  • Thrive in a fast paced, highly collaborative environment
  • Passion for aligning financial returns with societal impactExcellent verbal and writing skills in English
  • Ability to work under pressure to meet tight deadlines
  • Possess attention to detail within the larger context of a complex investment ecosystem
  • Familiar with database creation, maintenance, and manipulation of large datasets
  • Working knowledge of data science tools (SQL, XML, MATLAB, R, Python, XML, etc.)
  • 1-3 years experience in capital markets and investment topics, either through work experience or educational background and familiar with database creation, maintenance, and manipulation of large datasets
  • Experience with financial tools and databases (e.g., Bloomberg, FactSet, MSCI)
  • Experience with programming language is a plus (C/C++, Java, etc.)One year of specialized experience performing the related duties and responsibilities is preferred.
  • A strong foundation in applied empirical analysis (experimental work in natural sciences, statistics, econometrics, data science) and facility with manipulating numbers, including programming skills

Responsibility:

  • As a part of Mumbai Based Database Analyst, Portfolio Solutions Group, the individual shall be responsible for the following
  • To ensure that all databases are managed, organized, and updated effectively and accurately.
  • Be in charge of maintaining the code that cleans and transforms the data from 3rd party
  • vendors into our databaseTailor the front-end experience for accessing our data resources to the needs of team
  • Assist the team in the centralized database management and work on longer term projects to further build out our data capabilities
  • Maintain data load from multiple sources and ensure loading errors are quickly identified and resolved
  • Support the team on various data requests, including those which could be manual in nature
  • Build creative solutions to accurately update, manage, and tailor the database for the team’s unique needs.
  • Update to the relevant stakeholders on progress and design changes of database systems and operations.
  • Serve as a technical resource to team regarding database resources and tools.

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