Institutional Shareholder Services, Inc.

  • Product Specialist

    Job Locations US-MD-Rockville | US-NY-New York
    Job ID
    2018-1779
    Category
    Product Management
  • Overview

    ISS is seeking an individual to serve as the global Data & Analytics QualityScore Methodology Manager or Product Specialist. This role will be responsible for ensuring that our QualityScore products remain market-leading and reflective of institutional investor perceptions of risk and norms. You will also be an external voice for QualityScore, interfacing with clients to explain the methodology, seek feedback, and explore new topic areas.

    Responsibilities

    • Serving as ISS’ internal expert on QualityScore, as well as historical ratings products (to include Corporate Governance Quotient and Governance Risk Indicators) and their associated legacy data
    • Coordinating across internal ISS constituencies to evolve the QualityScore methodology; groups you will coordinate with include Global Proxy Research, Project Management, Technology, Development, and more
    • Soliciting feedback internally and externally on QualityScore, with an eye to making continuous improvements (deployed on an annual cycle) to the methodology
    • Maintaining a list of errata and other historical changes to assist clients to understand the historical ratings datasets
    • Assisting clients and others with QualityScore questions (serving as third-level support)
    • Collaborating with sales team to help potential clients understand ISS Data & Analytics and ways that QualityScore can help with investment processes

    Qualifications

    • Bachelor's degree in business, finance, economics, mathematics, or a related field.  Master’s degree appreciated
    • 5+ years’ relevant work experience
    • Strong Excel and data skills; basic to intermediate SQL skills very helpful 
    • Basic understanding of statistics appreciated
    • A demonstrated track record progressive responsibility and achievement
    • Strong writing, communication and presentation skills
    • Ability to quickly learn and adapt to new content, products, and services

    Characteristics

    • Impeccable attention to detail
    • Self-starter who can work independently across a team with the ability to multi task at a high level
    • Ability to develop an internal network of cross-discipline experts and resources
    • Data-oriented, unafraid to ask questions and willing to dive deeply into datasets
    • Willingness to challenge conventional wisdom and client preconceptions

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