Company Name:-
Institutional Shareholder Services

Job Location:-
Mumbai, Maharashtra

Job Summary:-
Governance offerings include objective governance research and recommendations, and end-to-end proxy voting and distribution solutions.

Institutional clients have long turned to ISS to apply their corporate governance views, identify environmental, social and governance risk, and manage their complete proxy voting needs on a global basis.

ISS covers approximately 44,000 meetings in 115 countries yearly, delivering proxy research and vote recommendations while working closely with clients to execute more than 10.

2 million ballots representing 4.

2 trillion shares.

Overview
This quantitative analyst will become part of ISS’ quant team and work with senior members of quant team on ISS’ proprietary models for executive compensation and corporate governance.

This quantitative analyst will be responsible for supporting operations of ISS’ models, data analysis, model validation and testing for model development.

This quantitative analyst will also work on automating model processes for supporting ISS Research operations.

Job description
Support operations for ISS’ quantitative models for executive compensation such as EPSC, P4P, ECA, Realizable Pay, Director Pay, etc.

SQL/data query/data analysis/model validation & testing/programming support for senior members of quant team with model modeling tasks.

Proxy season support for answering & resolving model-related questions from Research teams for EPSC, P4P, ECA, Realizable Pay, etc.

(Level 2 support)
Qualifications
Master’s degree in Statistics, Finance, Financial Engineering, or an equivalent field with a minimum GPA of 3.

5 is preferred; 3-4 years of relevant experience is desired.

Strong statistical and mathematical background and experience with financial modeling required.

Technical skills: strong skills in SQL queries/database programming, a general understanding of databases; programming skill such as Python, VBA, C++; statistical analysis package such as R, MATLAB, etc.

Conceptual understanding and practical experience in advanced topics including Monte Carlo Simulations, Linear and Logistic Regression, Option Pricing and Derivative Valuation.

Experience in analyzing financial statements, financial metrics, and executive compensation structures.

Strong detail-orie

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