MSCI - Quantitative Researcher/Developer

Position overview:

The MSCI Core Equity Research team is part of MSCI's Global Research and Product Development team. It is a global client-centric research group with a broad mandate to conduct proprietary research and strategic product development to address investment problems and set the foundations for the future growth of MSCI. The Core Equity Research group utilizes a variety of analytical tools and methods to investigate new index ideas within equities carry out research and simulations.

The group works closely with other teams within Research and Product Development (Equity Solutions, 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 have strong technical skills and support the existing tools used within the Research and Product organization such as the in house Matlab based Equity Research Platform that performs back-testing and simulations.

- The candidate will also develop new tools using state of the art technologies and techniques (Python, data science, machine learning) and train, onboard, support and consult others in the Research and Product Development group on these technologies.

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

Desired experience and qualifications:

- Well-developed hands-on analytical and quantitative skills (e.g., time series and cross-sectional analysis)

- Good programming skills (Python and/or Matlab 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

- Experience in writing technical and research reports

- Good interpersonal, communication and presentation skills

- Bachelors/Master's Degree in science, technology, engineering, mathematics, quantitative finance or another highly quantitative subject.