Working in a team to build credit risk modelling, analytics and reporting for retail customer
Partner with the product team to determine how technology help to detect and reduce risk.
Analyze key metrics to determine risk. Help build the variety of data ingredients needed to do modelling effectively
Maintain the credit model platform which is utilised by the team and expected to provide advice and guidance on ongoing efficiency gains and new credit modelling methodology.
Qualifications
Have an undergraduate degree in an analytical discipline (e.g. math, statistics), however, other disciplines will be considered
Have experience in using statistic tools such as R, Python SAS, SQL analytical tools or advanced MS Excel skills
Willingness to get his/her hands dirty to build the data
Hiring criteria
You should have or be completing the following to apply for this opportunity.