As an Associate in the Risk Analytics and Modeling team, you will apply quantitative and analytical skills to develop or validate models related to credit risk, fraud detection, and anti-money laundering, while utilizing advanced data analytics techniques.

The QA Engineer for the Operational Data Platform ensures the quality of data pipelines and systems. Responsibilities include developing test plans, executing tests for ETL processes, validating data integrity, automating tests, and collaborating with the data engineering team to resolve defects while adhering to QA methodologies.