MSCI Internship Program 2021

MSCI Internship Program 2021:-

MSCI Internship hiring candidates for the role of Data Science Intern for the Location Mumbai, India. The complete details MSCI Internship Program 2021 are as Follows

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Company Name:- MSCI

Position:– Data Science Intern

Stipend:- As per the company standards

Work Location :– Mumbai, India

Employment Type:-Full Time

Duration:- 6 months

Experience:- Fresher

Category:- Research

Job Number:- 210001D2

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Qualification:-

Bachelor’s/Master’s Degree in science, technology, engineering, mathematics, quantitative finance or another highly quantitative subject.

Requirements:-

Well-developed hands-on analytical and quantitative skills (e.g., time series and cross-sectional analysis)
Good programming skills (Python preferred)
Knowledge of any of the following: DevOps practices (version control systems, testing, continuous integration and delivery, containers), Linux command line, system administration basics a plus
Understanding of the equity analysis and investment process or a strong desire to learn it

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Good interpersonal, communication, and presentation skills

Job Description:-

The group works closely with other teams within Research and Product Development (Solutions, Index, Analytics, ESG) and across the firm (data, technology, product, coverage) to implement the research agenda and benefit from the substantial resources and expertise available within the global MSCI organization.

Responsibilities:-

The successful candidate will be a member of the team based in Mumbai and be involved in new research projects and contribute to their success from initial concept through research, development, and consultation to production implementation.
The candidate will develop new tools using state of the art technologies and techniques (Python, data science, machine learning) and support others in the Research and Product Development group on these technologies.

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The candidate will carry out back testing, research and analysis of equity factor based strategies using historical market data and Barra factor models and portfolio construction tools.