Quant Modeler

Job Description: 
We are looking to hire a seasoned risk modeler for development of CCAR PPNR models including interest, non-interest and income and expense models. Strong statistical background along with experience in time series modeling is required.

1. 7-10 years’ experience in BFS analytics, with 5+ years’ experience in Risk and PPNR Modeling
2. Experience working on CCAR PPNR models is preferred.
3. 5+ years’ hands-on experience on model development and validation using various statistical techniques including time series approaches
4. Knowledge about the global regulatory landscape – CCAR/DFAST, PPNR, IFRS9, CECL
5. Strong client management and communication/presentation skills – written & verbal. Strong networking, negotiation and influencing skills.
6. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision.
7. Project management experience
8. Expertise in Python and/or R


Roles and Responsibilities

The selected candidates will work on developing PPNR models across banks portfolios for a leading US CCAR bank

They will be involved across all stages of model development including data preparation, development of component models, developer testing of the models, and preparing comprehensive model documentation in compliance with regulatory and internal requirements. They would also need to provide required information in support of independent validation of the models