Senior Data Quality Analyst with Python or R, SQL

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.
• 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.