MSCI - Sr Role - Quantitative Modelling

EQUITY QUANT ASSOCIATE

ABOUT MSCI Inc.

MSCI is a leading provider of research-based, mission critical investment decision support tools for investors globally, including asset managers, banks, hedge funds and pension funds. We offer a range of products and services — indices, portfolio risk and performance analytics, and governance tools — from a number of internationally recognized brands such as Barra, RiskMetrics, IPD and ISS.

For further information on MSCI, please visit our web site at www.msci.com.

RESPONSIBILITIES:

- Analyzing the entire data coverage of equity and non-equity asset classes’ component wise viz. market data, fundamental data and security characteristics (street identifiers, country details, etc.)

- Pioneering tool building initiatives for coverage extensions and data validations which are scalable, cutting edge and technologically driven

- Liaise with internal stakeholders like Research and Product teams to understand business requirements and customize solutions which are smart, efficient and provide maximum client impact

- Ability to summarize, escalate present issues in a clear and succinct manner

- Perform security level QA and high-level time series coverage analysis, simulation tests using ETL platforms like SAS or Matlab

- Apply statistical methods/techniques to analyze data and provide summarized results

DESIRED EXPERIENCE AND QUALIFICATIONS:

- Minimum of 6 years relevant work experience in quantitative analysis/financial modeling

- Bachelor’s Degree in finance, econometrics or statistics field

- CFA, FRM, MBA or MSc (IT) is an advantage

- Good understanding of equity analysis and equity investment process

- Well versed with statistical tools like Matlab, SAS or any other tools used for quantitative analysis/financial modeling purposes

- Familiar with investment research and data vendors (e.g., Reuters, Factset, risk and portfolio management systems)

- Excellent interpersonal, communication and presentation skills

- Good analytical skills combined with ability to manage large amount of data

- Self-starter, high level of motivation and commitment to hard work

- Desire and ability to effectively work with diverse cultures on a global team

- Good team player