A banking services organization in New York City is currently seeking an experienced Finance professional to join their team as their newVP - Counterparty Risk. In this role, theVP - Counterparty Risk will be responsible forleading counterparty credit risk analytics with core focus on understanding PFE modeling and analyzing various modeling approaches. Responsibilities: The VP - Counterparty Risk will: Lead with risk modelling team to define or enhance PFE methodology for existing or new products Lead efforts to establish back testing framework and analysis of the results for any remediation actions Monitor CCR analytics for large DoD and MoM moves in PFE Analyze/validate exposures (PFE) for any limit triggers and credit limit breaches Perform credit limit sizing and define maximum tenor limits Monitor and review CVA limit framework Provide month-end commentary for large exposure moves in top 20 exposures, for industry/country exposures, for product exposure analysis across IR, FX and non-derivative transactions Provide CCR slides for senior management discussion and committees (GRMC, RMC etc.) Perform Wrong Way Risk analysis for counterparties and enhance existing WWR framework Oversees production of daily counterparty credit exposure reports for accuracy and comprehensiveness. Liaise with various groups within Capital Markets for the quick resolution of credit exposure-related issues Perform other duties, as needed Qualifications: 7+ years of experience in Counterparty Credit Risk, Market Risk, Front Office Modeling, or Valuation-related discipline PhD or Masters Degree in Quantitative field (Finance, Mathematics, Engineering, Physics, Computer Science, or Statistics) Strong knowledge and understanding of Capital Markets, derivatives products, and derivatives valuation/PFE calculation Understanding of xVA calculations such as CVA, DVA, FVA, KVA, MVA, etc. Experience in working with internal developers, data sourcing teams and external vendors to drive development of CCR analytics, system infrastructure and overall CCR framework Good working experience in analyzing stress testing results and enhancing stress testing framework Strong technical skills, specifically Excel/VBA, python, data visualization tools (e.g. Power BI) etc. Great interpersonal skills Excellent communication skills (written and verbal) Strong attention to detail Highly organized Desired Skills: CFA and/or FRM certification
