Associate - Analytical Verification

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 Corporate Governance (ESG) risk with the data technology and analysis. You will primarily work on technologies such as MS SQL Server 2017, R and Python. The role does not involve statistical or quantitative modeling or developing machine learning models.

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

Qualification:

• Experience - 4 to 6 years.

• B.E./B.Tech. /MCA with a strong programming aptitude.

• Management Degree with specialization in Finance or someone who has worked in financial domain with good understanding in financial data.

• Experience in Automation Testing using Python and SQL and Database Testing.

• Or Strong in Data Analysis using R or 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.

• T his role will NOT involve working on Machine Learning techques.