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.
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We are currently seeking a Sr. Associate to join our QBIT (Quality Assurance Benchmarking and Independent Testing) Analytics Team in Mumbai, India.
Independent verification of logical and analytical models used in environmental, social and corporate governance (ESG) risk analysis, investment performance analysis, financial intelligence, stock ranking and portfolio analysis
Devise data and model verification strategy, develop and implement verification frameworks and prototypes using python/R, and perform data quality analysis
Closely collaborate with data engineers, software development and product teams to ensure accuracy and reliability of tools and data
Evaluate model specifications, data processes and business logics for accuracy, completeness, thoroughness and potential dislocations
End-to-end project and stakeholder management in a global setting
Software deployment and release management
Provide expertise and leadership on making technical decisions, hiring and mentoring junior team members, and focusing on excellence in project management and delivery discipline
Promote an environment that fosters commitment to rigor in data research and analysis operational excellence, collaboration and knowledge sharing
Note: This is a techno-functional role that blends the domains of ESG risk, programming and data analysis. You will primarily work on technologies such as Python/R and MS SQL Server 2017.
Bachelors/Masters in Engineering/Information Science with strong hands-on experience in analytical programming using Python/R/VBA in the context of data manipulation, transformation, wrangling or analysis
An MBA (finance), or CFA level 1 or 2, or CIPM will be a big plus
Experience of working on data provided by data vendors such as Bloomberg, Factset, S&P Capital IQ, S&P Compustat, D&B, Thomson Reuters, IDS or Markit will be an advantage
Overall 6 to 11 years of relevant experience
Meticulous attention to detail, ability to transform data into actionable insights, identify patterns, trends, relationships and clusters in the data
Proven track record of excellence in project management
Ability to effectively communicate and collaborate with global business and technical teams
Self-starter and quick-learner
Ability to adapt and work in a fast-paced environment independently with little supervision
Please Note : The job role does not involve work related to Machine Learning.