Sr Analyst, Credit Risk Mgmt
Core
Develop predictive financial and analytical models to identify credit segmentation opportunities and enhance credit decision processes, policies, and fraud prevention measures for T-Mobile.
Role type
Senior quantitative analyst (credit risk)
Builds
Credit decision models, risk policies, and fraud prevention strategies
Domain
Telecom / Consumer Credit Risk
Deliverable
production ML models
Required skills
quantitative analytic modeling, statistical segmentation, trend and regression analysis, SQL, Python, R, Excel, data extraction and transformation
Preferred skills
SAS, graduate degree in quantitative field, consumer risk management experience, wireless/telecom experience
Responsibilities
Apply statistical segmentation techniques to identify new opportunities; Perform qualitative and quantitative analysis of credit policies; Develop predictive financial and analytical models; Perform loss forecasting analysis; Extract and process data from disparate sources including credit bureau and alternative data; Deliver work output adhering to project timelines
