Senior Data Quality Analyst

Job Description Role Overview: You will be responsible for independently verifying 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. Your role will involve devising data and model verification strategies, developing and implementing verification frameworks and prototypes using Python/R, and performing data quality analysis. Additionally, you will closely collaborate with data engineers, software development, and product teams to ensure the accuracy and reliability of tools and data. Your responsibilities will also include evaluating 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 will be part of your role. Promoting an environment that fosters commitment to rigor in data research and analysis, operational excellence, collaboration, and knowledge sharing is essential. While starting as an individual contributor, there will be opportunities in the future to lead a team. Key Responsibilities: - Independently verify logical and analytical models - Devise data and model verification strategies using Python/R - Collaborate with various teams to ensure accuracy and reliability of tools and data - Evaluate model specifications, data processes, and business logic - Manage projects and stakeholders globally - Deploy software and manage releases - Promote commitment to rigor in data research and analysis Qualifications: - Bachelors/Masters in Engineering/Information Science - Strong hands-on experience in analytical programming using Python/R - An MBA (finance), CFA level 1 or 2, or CIPM would be advantageous - 6 to 9 years of relevant experience - Meticulous attention to detail and ability to transform data into actionable insights - Effective communication and collaboration with global teams - Self-starter and quick learner - Ability to adapt and work independently in a fast-paced environment with minimal supervision Additional Company Details (if any): This is a techno-functional role that blends the domains of ESG risk, programming, and data analysis. The technologies primarily used will be Python/R and MS SQL Server 2017. Please note that the job role does not involve work related to Machine Learning. Role Overview: You will be responsible for independently verifying 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. Your role will involve devising data and model verification strategies, developing and implementing verification frameworks and prototypes using Python/R, and performing data quality analysis. Additionally, you will closely collaborate with data engineers, software development, and product teams to ensure the accuracy and reliability of tools and data. Your responsibilities will also include evaluating 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 will be part of your role. Promoting an environment that fosters commitment to rigor in data research and analysis, operational excellence, collaboration, and knowledge sharing is essential. While starting as an individual contributor, there will be opportunities in the future to lead a team. Key Responsibilities: - Independently verify logical and analytical models - Devise data and model verification strategies using Python/R - Collaborate with various teams to ensure accuracy and reliability of tools and data - Evaluate model specifications, data processes, and business logic - Manage projects and stakeholders globally - Deploy software and manage releases - Promote commitment to rigor in data research and analysis Qualifications: - Bachelors/Masters in Engineering/Information Science - Strong hands-on experience in analytical programming using Python/R - An MBA (finance), CFA level 1 or 2, or CIPM would be advantageous - 6 to 9 years of relevant experience - Meticulous attention to detail and ability to transform data into actionable insights - Effective communication and collaboration with global teams - Self-starter and quick learner - Ability to adapt and work independently in a fast-paced environment with minimal supervision Additional Company Details (if any): This is a techno-functional role that blends the domains of ESG risk, programming, and data analysis. The technologies primarily used will be Python/R and MS SQL Server 2017. Please note that the job role does not involve work related to Machine Learning.