Develop prototypes of models, data processes, and business logic 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 logic for accuracy, completeness, thoroughness, and potential dislocations
Assess the 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 a commitment to data and product quality, operational excellence, collaboration, and knowledge sharing
Qualification:
Experience - 2 to 4 years
B.E./B.Tech./MCA with a strong programming aptitude
Management Degree with specialization in Finance or someone who has worked in the financial domain with a good understanding in financial data
Experience in Automation Testing using Python and SQL and Database Testing Or Strong in Data Analysis using Python and SQL
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
This role will NOT involve working on Machine Learning techniques
