We have a role for Credit Risk Analytics with one of the global bank in Bengaluru.
Time: UK Shift
Roles & Responsibilities:
- Executing forecast runs using the stress model and assessing inputs.
- Analyzing data and forecast results in a business and financial context
- Explaining the variations in loss forecast model outputs based on portfolio trends, planned business actions, and model components/assumptions
- Reviewing back-test results to assess the model performance
- Addressing gaps in the model output through model deficiency/management judgment
- Leveraging analytical approach to benchmark the stress model output
- Conducting independent user acceptance testing
- Performing sensitivity analysis on inputs and independently forecasting numbers
- Supporting all results through appropriate documentation
- Developing enhanced reporting through use of automation, if required, such as excel macros or SAS programming
- Managing ad hoc analysis
Key Skills:
- Bachelor's degree in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required; advanced degree is preferred
- Relevant years of related analytical experience
- Deep credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking)
- Knowledge of the Forecasting process, macroeconomics, and finance preferred
- Strong technical and statistical skills
- Relevant years of SAS (including SAS Macros) & SQL programming experience (PC, UNIX or mainframe). Knowledge of Tableau preferred
- Highly proficient in Microsoft Office suite of products (Excel and PowerPoint, experience with Essbase a plus)
Ankita Sawant
Black Turtle
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