Data Analytics 5
Core
Evaluate credit losses across mortgage and consumer portfolios and support monthly and annual forecasting for the Consumer and Business Banking Loss Forecasting team.
Role type
Senior data analytics engineer (credit loss forecasting)
Builds
Credit loss forecasts and analytics insights for banking portfolios
Domain
Financial services / Banking / Credit risk
Deliverable
dashboards & analysis
Required skills
Statistical analysis, Data integration, Trend identification, Financial impact evaluation, Model risk governance, Project management
Preferred skills
Credit loss forecasting, Unsecured and secured lending, Predictive modeling, Banking experience, Advanced analytics/statistics
Technologies
SQL, R, Python, Excel, Hadoop, SAS, SPSS, geospatial tools
Responsibilities
Gather and integrate large volumes of data from multiple sources, Identify and analyze trends or patterns in complex data, Interpret data using statistical techniques, Present data and analysis to business partners, Measure and monitor results of applied recommendations
Seniority
Senior, hands-on IC