VP - Quantitative Exposure Management VP - Quantitative Exposure Management …

Selby Jennings Buyside
in Manhattan, NY, United States
Permanent, Full time
Be the first to apply
Negotiable
Selby Jennings Buyside
in Manhattan, NY, United States
Permanent, Full time
Be the first to apply
Negotiable
Selby Jennings Buyside
An international investment bank is looking to hire a Vice President level candidate within it's Quantitative Exposure Management function. This individual will be tasked with establishing a quantitative measurement framework for counterparty credit risk exposure, and conduct various types of modeling including but not limited to stress testing, VaR modelling, portfolio risk analysis, counterparty risk analytics and scenario analysis. This is a high exposure role, located in New York City.

An international investment bank is looking to hire a Vice President level candidate within it's Quantitative Exposure Management function. This individual will be tasked with establishing a quantitative measurement framework for counterparty credit risk exposure, and conduct various types of modeling including but not limited to stress testing, VaR modelling, portfolio risk analysis, counterparty risk analytics and scenario analysis. This is a high exposure role, located in New York City.

Responsibilities:

  • Working on establishing and developing the Quantitative Exposure Management framework
  • Developing analytics to measure counterparty credit risk for limits, capital and analysis
  • Developing methodologies and analytics related to haircuts/Independent-Amounts/Initial Margin
  • Overseeing the performance of the regulatory required SIMM model

Qualifications:

  • At least 5 years of experience in quantitative counterparty credit risk management
  • Extensive knowledge of OTC derivatives, listed derivatives, and financial product expertise
  • Strong Quantitative skills in at least Python
  • At least a Masters Degree in a quantitative discipline (financial engineering, financial mathematics, mathematics, statistics etc.)
  • Knowledge of regulatory requirements for large financial institutions
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