Staff Augmentation for Retail Banking Client
A leading retail banking organization was on the lookout for talent in Fraud Detection, Anti Money Laundering, Predicting Risk Modeling and Emerging Technologies like Machine Learning, AI and Blockchain.
They wanted to hire the right analytics talent in multiple locations of California and Arizona. High time-per-hire, poor candidate vetting by existing suppliers, poor resource performance were some of the challenges they faced.
The client contacted us for a solid staffing solution. Download the case study to find out how Infojini helped this banking client recruit the best talent and delivered the desired end result.
Related items
Judiciary Data Dashboard
The web Application is about visualization dashboard of Judiciary information for District & Circuit courts for Judiciary for one of the large eastern states in United States. Type of Work NodeJS – SailsJS, Angular JS, PostgreSQL Industry Law & Justice The Problem One of the…
Pharmaceutical
One of our oldest clients, a drug manufacturing firm in Boston was looking to hire Sr. Scientists (Formulation & Product Development) for its research unit. This requirement was for their medical breakthroughs division and the client needed PhD resources with decent publication history. Challenge With…
Hiring Salesforce Developers for an IT Client
One of our IT clients in California with multiple service delivery centers across the US was looking to digitize its marketing and sales processes using Salesforce implementation. The client needed developers, consultants, architects, and administrators that could use the iterative scrum approach for the implementation….
StudMonk-AN ASSESSMENT PLATFORM
To help save time, money and effort of students, we’ve created a test preparation app for students preparing for entrance exams like NEET, MHT CET and JEE. The app makes it easy for aspirants to test their preparation level anytime anywhere as per their convenience….