Data Analytics 5
Core
Evaluate credit losses across mortgage and consumer portfolios and support monthly and annual forecasting using statistical techniques and big data analytics.
Role type
Senior data analytics engineer (loss forecasting)
Builds
Credit loss forecasts and financial impact analyses for Consumer and Business Banking portfolios
Domain
Financial services / Banking / Credit risk
Deliverable
dashboards & analysis
Required skills
Statistical analysis, Big data analytics, Forecast modeling, Data integration, Trend identification, SQL, Python, R, SAS, Hadoop, Excel, Model risk governance
Preferred skills
Credit loss forecasting, Unsecured and secured lending, Banking experience, Predictive modeling, Project management
Responsibilities
Acquire data from multiple sources to perform analysis, Identify and interpret trends in complex data, Present data and analysis to business partners, Measure and monitor results of applied recommendations, Ensure compliance with company standards for data acquisition and sharing