Morgan Stanley Off-Campus Drive | Full-Time Analyst Job Vacancy | CTC: 25 LPA

Morgan Stanley has announced a new job opening notice for the 2023 Technology Full-Time Analyst Program, which is open to both recent graduates and seasoned professionals.

Those interested in applying for the 2023 Technology Full-Time Analyst Program position and meeting the eligibility requirements listed below (qualifications required, key skills required, and experience required) can do so via the link provided below.

Also, prior to applying for the 2023 Technology Full-Time Analyst Program position, job-seekers are advised to review all the necessary job requirements listed below.

About Morgan Stanley

Morgan Stanley India is a leading financial services firm with a strong global network. At Morgan Stanley India, our strength is the people who make up the firm, and their diverse backgrounds and experiences, which help us build lasting client relationships and deliver outstanding results.

Morgan Stanley invites you to explore the unique opportunities we offer to build a career where you can challenge yourself and contribute to a global and dynamic enterprise.

Morgan Stanley Recruitment: Full-Time Analyst Job For Freshers

Morgan Stanley India Private Limited has announced a recruitment drive for fresh graduates.

The drive is open to all graduates. A good academic record, strong co-curricular activities, and a strong list of internships will be the key to getting selected in the recruitment drive.

Job Description

Company NameMorgan Stanley Advantage Services Pvt Ltd
Position/Job Profile2023 Technology Full-Time Analyst Program
Target Batch2018/2019/2020/2021/2022
Job LocationMumbai/Bangalore India
Job Type/ SalaryFull-time/ Internship
CTC25 Lakh Per Annum

Roles & Responsibilities

Development Teams:
  • The job of our development teams is to design, build, test, and keep up with applications used by the Firm’s business units.
  • Meeting with clients to gather and analyze requirements is a daily activity.
  • Making decisions about system design, evaluating, ensuring the integrity of, and developing the necessary software, testing applications, and putting them into production.
  • Developing high-performance, low-latency electronic trading systems for multiple asset classes, delivering sophisticated risk management analytics and systems, and evolving complex workflows and life cycle management capabilities across increasingly complex products are just a few of the many projects available to developers within our technical organizations.
The Infrastructure Teams:
  • Our teams that work on infrastructure are making systems for running our business that are at the cutting edge.
  • For trading applications, engineers provide tools, applications, and platforms such as the firm’s networks, computing hardware, operating systems, and databases.
  • Working in small, agile teams, the group provides applications to the firm’s diverse clientele in a timely manner.
  • Some of the projects available to infrastructure engineers in our organizations include engineering the Firm’s websites, managing the Windows plant, and developing a client reporting delivery system.

Morgon Stanley Careers: Position/Duration

Full-time Analysts are placed in a development or infrastructure position within Technology that best matches their skills and interests in August.

Morgon Stanley Careers training program:

The training consists of a 15-week global program that includes a firm orientation, intensive technology training, an introduction to proprietary technologies, and a four-week group project.

The Program enables Analysts to build a solid peer network and acquire the comprehensive skills necessary for a long-term career in Technology.

Educational Qualifications/Eligibility Criteria


  • Graduate with a Bachelor’s, Master’s, or Ph.D.
  • Preference is given to candidates with degrees in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or other technical disciplines.
  • Experience with at least one OO(Object Oriented) programming language, such as Java, C++, or C#; database savvy. Operating system expertise (Windows and Unix).
  • Excellent problem-solving abilities, experience with object-oriented development, a solid understanding of data structures, algorithms, and complexity theory, as well as solid database and scripting abilities.
  • Excellent skills in problem-solving, communication, teamwork, and analysis. Fluent in the English language.

Frequently Asked Questions (FAQs)

1. Is it easy to get a job as a data analyst in India?

Getting a job as a data analyst in India can be a bit tricky, but it’s not impossible. It all depends on your particular skills and the needs of the company you’re applying to.

2. How to get a data analyst job abroad?

Getting a data analyst job abroad can be tough. You need to know the right questions to ask, and you need to know how to go about finding the answers. That’s why we’re here: to help you get your best shot at getting hired by the top companies in Europe and Asia.

Let’s start with the basics: what is a data analyst?

A data analyst is responsible for managing large amounts of data, analyzing that data, and presenting it in a way that helps others understand its value.

In other words, they’re like an accountant for big companies. Or a doctor for small ones. Or maybe even an architect… a chef… or a cookbook author… okay, just kidding on all of those last three! But seriously—we’ve got some really cool stories coming up in our next issue!

3. Is being an analyst a good job?

I think analyst is a good job for people who want to earn a lot of money and are not afraid of hard work.

Analysts can earn up to $100,000 per year if they work hard. They must have great communication skills and be able to handle stress well.

4. Is data analysis a stressful job?

There is no definitive answer to this question as it varies depending on the person and the specific job they are doing. However, in general, jobs that involve working with large amounts of data can be quite stressful, as there is often a lot of pressure to find accurate and meaningful patterns within the data.

Follow for more Understanding, you can follow the below video:
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