We are looking for an experienced professional with hands-on experience in developing and implementing state-of-the-art quant/stats models. We are looking for someone with strong experience in SAS, Python, or R.
If this sounds exciting, apply with us!
Your Future Employer:
One of the world’s Biggest Financial institutions with a strong global footprint and a huge customer base.
Developing econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”) Non-Interest Revenue (“Non-NIR”), Interest Rate Exposure (“IRE”), Economic Value Sensitivity (“EVS”), and other associated interest rate risk metrics.
Steering stakeholder conversations with Businesses, Finance, Treasury, and Risk to seek their sign-offs on Champion models.
Manage thing Segmentation, Risk Identification, and overlay discussions with Businesses and Finance teams.
Reviewing and timely submission of Model development documentation (MDDTs) for the entire PPNR modeling landscape to Model Risk Management.
Developing and maintaining a comprehensive modeling system that supports a consistent approach to data quality and modeling methods, audit, backtest, tracking, and annual validation.
Have managed a large team of a minimum 8-12 statisticians/econometricians in the previous role
14+ years of relevant statistics/ economics experience in financial services
Masters / Ph.D. in quantitative disciplines line such as Statistics, Economics, Finance or related discipline
Deep understanding of statistical techniques such as Panel Regression, Error Correction Models, Seemingly Unrelated Regression, and Cointegration.
Experience in CCAR Modeling / Reporting to OCC, FRB and FDIC.
Experience in developing econometric and Panel regression models.
Extensive hands-on experience in programming and modeling using SAS.
If you think this role is aligned with your career, kindly write me an email along with your updated CV at email@example.com for a confidential discussion on the role.