·      Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).

·      Basic Knowledge on software development principles and architecture.

·      Good analytical and problem-solving abilities.

·      Ability to break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods.

·      Familiarity with programming for data analysis; ideally Python, SQL, or R.

·      Solid oral and written communication skills, especially around analytical concepts, and methods.

·      Great work ethic and intellectual curiosity.

·      Knowledge of Cloud technologies such as AWS or Google Cloud.

·      Knowledge of any relational database such as My SQL.

·      Must be a team player with excellent communication and problem-solving skills and have experience working with customers across teams.