Data Modeller - Credit Risk at Insource.ICT / IT Edge

Job description

Previously worked in Quants or in Risk Advisory within a consulting environment? Love the sound of Big Data and working in data modelling for Fraud? Enjoy working for this impressive global company who are listed on the London Stock Exchange and provide credit risk, fraud prevention and automated data solutions to their clients around the world.

Use your Advanced degree (Undergrad +) in Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or quantitative fields and your strong analytical abilities in this challenging but exciting data modelling role.

If you enjoy working in analytics, data mining, and/or predictive modelling using SAS/SPSS or R with TSQL; specifically, with large transactional data and have a proven track record in applying advanced algorithms to address practical problems, then this is the role for you.
This role combines data analysis / modelling as 60% of the role, along with Project management, client consulting and innovation.