VisualDNA Israel is looking for an ambitious Java Big-Data Team Leader who wants to work in an enjoyable and dynamic small business atmosphere. We combine big data and psychology to reveal more about people and why they do what they do.
VisualDNA is the leading provider of consumer data to digital advertisers in the fast growing programmatic digital advertising market. Over 80 of the top 100 UK brands use our data to create target audiences for their digital advertising campaigns. Our unique consumer insight is based on psychological personality analysis in consumer quizzes and VisualDNA’s big data network of 500m profiles of consumers internet behaviour drives our global growth.
VisualDNA is a vibrant and stimulating place to work. We pride ourselves on our team which brings together some of the brightest minds in the business. Our people are outstanding problem solvers and talented thinkers with decades of industry experience. We offer an environment that fosters creative thought and is rich with learning opportunities.
We’re looking for a sharp Java Big- Data Team Leader to turn true big data into actionable insights.
As a Big-Data Team Leader you’ll play a crucial role in building out a revolutionary next generation real-time system. You must have vast experience in Big Data Technologies such as Spark, Hadoop, HDFS, MapReduce and Kafka that can provide the technical leadership towards architecting a highly scalable, cost effective and highly performing platform.
Responsibilities will include:
Banking the Unbanked - Giving lenders the data, and confidence, to extend credit beyond the norm.
Not everyone can access credit for reasons of history or geography, but everyone has a personality. VisualDNA quizzes are, in real time, unlocking credit that’s both an appropriate fit for the consumer and profitable for the lender. This is achieved by assessing who the applicant is, not what they have previously done or where they are located.
VisualDNA applies 30 years of academic research, big data analysis and internationally recognised psychological principles to create new data for the purpose of risk assessment; we link consumer psychology to credit intent.