Institutional Shareholder Services | Hiring | Senior Data Quality Analyst with Python or R, SQL | Mumbai | BigDataKB.com | 01-10-2022

Job Location: Mumbai

Position Overview:
We are currently seeking a Sr. Associate 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, corporate governance (ESG) risk analysis, investment performance analysis, financial intelligence, stock ranking, portfolio analysis, and market intelligence.
  • 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 the accuracy and reliability of tools and data
  • Evaluate model specifications, data processes, and business logic for accuracy, completeness, thoroughness, and potential dislocations
  • End-to-end project and stakeholder management in a global setting
  • Software deployment and release management
  • Promote an environment that fosters a commitment to rigor in data research and analysis operational excellence, collaboration, and knowledge sharing
  • To start with, this will be an individual contributor role but in future there will be opportunities to lead a team.
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 in the context of data manipulation, transformation, wrangling, or analysis
  • An MBA (finance), CFA level 1 or 2, or CIPM will be a big plus
  • Overall, 6 to 9 years of relevant experience
  • At least 2 years of team lead experience is required for this role.
  • Meticulous attention to detail, ability to transform data into actionable insights, identify patterns, trends, relationships, and clusters in the data
  • 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.
โ€œWe offer a hybrid work schedule of 3 days in office and 2 days work from home. Most offices have returned to working in-officeโ€.
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