Quantitative Analyst

The role will be hands-on and form an integral part of the team with the potential to turn into a team lead. This is a highly visible role, where you will be working closely with the management and live enterprise customers from day one, contributing to developing analytics alongside providing feedback to enhance existing data modeling functionalities. Our application stack is based on modern Javascript frameworks and the data processing stack is built on cutting-edge distributed computing architecture.

Responsibilities

• Enhance, implement and pro-actively engage in the development of analytical tools on our product used by financial services companies.
• Realize and implement analytical models for various use cases in the financial domain such as devising methods that enable the valuation of loan portfolios and analytics on cash-flow data.
• Become an expert in modern SQL and data warehouses.
• You'll have the opportunity to work on a modern data stack along with helping clients modernize their analytical stack.
• Own and develop the data pipeline and processing architecture.
• Interact with enterprise customers to train, support, and gain feedback about the product.
• Proactively explore and implement AI or Machine Learning techniques to aid any new feature (approx. 5% of the time for this, 95% for the tasks above).

Requirements

This job was posted by Malavika Jayanand from Alterest.

Skills Required

Apache Spark, Shell Scripting, Python, Sql