FINANCIAL CREDIT RISK CECL jobs in NEW YORK CITY NY, United Kingdom

, you will advise financial institutions on a broad range of credit risk management topics including organization and governance; credit... Credit Losses (CECL) process and tools. You will work on a team evaluating, designing, and implementing credit risk...

of financial modeling concepts and measurements, including credit default, counterparty credit risk, econometrics and stress... testing, financial derivatives' pricing, potential exposure, CECL, CCAR, etc. Model risk management knowledge, including...

solve Financial Services Risk Management issues (in relation to consumer and commercial credit, climate change, consumer... compliance/fair lending, risk rating, artificial intelligence/machine learning usage and related) facing the financial services...

), CCAR, CECL, and internal credit ratings within a financial institution or relevant industry. Strong programming skills in... Expected Credit Loss (CECL), and internal credit ratings modeling. Role Overview: As a Wholesale Modeler, you will play...

collaborates with the Economics and Strategy Research teams, Chief Risk Officer, Chief Financial Officer, Financial Planning teams...Job Description: The Firmwide Economic Scenarios & Analytics team within the Office of the Chief Financial Officer...

collaborates with the Economics and Strategy Research teams, Chief Risk Officer, Chief Financial Officer, Financial Planning teams... Financial Officers and Chief Risk Officers, and will have the opportunity to develop important leadership and analytical skills...

, Financial Services Risk Management - Quantitative Advisory Services - Banking Book - Financial Services Office (Manager... and validating credit risk modeling methodologies and performing the practical application of advanced analytics techniques...

origination, credit risk practices Experience with credit models (e.g., PD, LGD, risk rating, economic capital, CECL... particular corporate lending, finance and/or risk practices. Experience in the use of credit data/credit models for underwriting...