Institutional Shareholder Services, Inc.

Associate - Analytical Verification

IN-MH-Mumbai
Job ID
2017-1527
Category
Information Technology

Overview

The QBIT Analytical Verification team independently verifies if various models, data solutions, data processes and business logics related to corporate governance and responsible investing are implemented accurately. The analytical verification encompasses independently developing prototypes of models, data processes and business logics, devising test cases and vectors, production code review and documentation of the test results. An Associate is expected to assist the team in all the stages of the analytical verification cycle. The candidate will be responsible for designing, planning, executing, and supporting the automated verification as well as software deployment and release management.

This is a techno-functional role that blends the domain of Environment, Social and Governance (ESG) risk with the data technology and analysis. You will primarily work on technologies such as MS SQL Server 2012 and R/Python. The role does not involve statistical or quantitative modeling.

 

Responsibilities

  • Develop prototypes of models, data processes and business logics related to corporate governance and responsible investing products and data platforms
  • Develop approach and framework to verify the models, data processes and business logics underlying various analytical products and data solutions

  • Data profiling and data quality analysis

  • Backed by data analysis, assess and evaluate model specifications, data flow and processes and business logics for accuracy, completeness, thoroughness and potential dislocations

  • Software deployment and release management 

  • Assess scope of different projects and define timelines, plans, and roadmap

  • Collaborate and communicate with modeling, development and product teams working in a global setting to plan and execute verification strategy. Document results and provide solutions

  • Promote an environment that fosters commitment to data and product quality, operational excellence, collaboration and knowledge sharing

     

Qualifications

  •  B.E./B.Tech. and an MBA/PG Diploma in Finance or capital markets. Candidates with any other professional certifications or courses in finance/capital markets domain may be considered.
  •  Hands-on experience with data manipulation and programming, preferably using R/Python/VBA (financial modeling), and basic to intermediate skills in SQL are MUST
  •  3 to 4 years of relevant work experience required
  •  Experience in independent project management will be an added advantage
  •  Strong analytical, numeric and problem solving skills
  •  Ability to multi-task and prioritize tasks as needed
  •  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

 

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