Job Details
About the Role
We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities
Building and testing credit and fraud risk statistical models, consulting in support of existing and new customer sales
Providing complex analytical results in clear, simple messaging to evidence the value provided by our products
Following modelling best practices and provide feedback on ways to enhance current processes
Providing technical support and be a resource to internal partners in Product, Sales and Technology teams
Researching new technologies and bring forward new ideas to the group
Supporting and help to shape our data science strategy
Requirements
Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Master's Degree
Be able to demonstrable experience or knowledge of applied modelling and analytics experience in applicable industry
Have good understanding of statistical methods applied to data analysis
Have user experience of R, Python, SAS, SPSS or equivalent analytic software.
Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques
Have good written communication skills, including the ability to describe statistical results to non-statistical audiences.
Experience processing large data sets and matching/merging multiple data sets.
