ISS Institutional Shareholder Services jobs - Analyst - Analytical Verification

About Iss

ISS empowers investors and companies to build for long-term & sustainable growth by providing high-quality data, analytics, and insight.

Founded in 1985, the Institutional Shareholder Services group of companies (“ISS”) empowers investors and companies to build for long-term and sustainable growth by providing high-quality data, analytics, and insight. With nearly 2,000 employees spread across 30 U.S. and international locations, ISS is today the world’s leading provider of corporate governance and responsible investment solutions, market intelligence and fund services, and events and editorial content for institutional investors and corporations, globally.

ISS Governance

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.

To learn more, visit https://www.issgovernance.com/solutions/proxy-voting-services/ .

Job Overview

We are currently seeking a Analyst to join our QBIT (Quality Assurance Benchmarking and Independent Testing) Analytics Team in Mumbai, India.

Responsibilities

• 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.

Qualifications

• 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 2 to 4 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