Our client provides high-quality, cost-effective research and analytical support for investment banks, private equity funds, corporates and portfolio companies around the globe. It allows clients to shift labor-intensive tasks to a flexible pool of talent, so that their in-house teams can focus on strategic initiatives and increase their capacity to take on more projects.

Required Skills:

Proficiency in Python Core and OOPs development (including data processing with Pandas)
Understanding of data structures and algorithms
Analytical thinker with strong attention to details
Excellent communication skills
Linux experience is a plus

Financial knowledge is a plus

Roles and Responsibilities:
Assist with onboarding a large catalog of datasets

Clean and normalize these datasets for downstream teams
Develop scripts for data extraction, transformation (clean, scrub, flatten, normalize, denormalize, etc.) and

visualization
Maintain the scripts and codes