Jobs · Business Development · New York

Executive Director, Risk/ Policy Management

Morgan Stanley · New York, NY · 1 mo ago
Business Development$221k–$275k/yrFull-time

About the role

Morgan Stanley Services Group Inc. is seeking an Executive Director, Risk/Policy Management in New York, New York.

Responsibilities

  • Develop and enhance the counterparty credit risk methodologies by developing models for portfolio analytics purposes.
  • Support the internal model approval processes with the regulators.
  • Develop exposure methodologies and implement exposure models in CVAT system.
  • Liaise with model developers on the enhancement of exposure methodologies in CVAT system.
  • Develop, benchmark, backtest, and test the Dynamic Initial Margin model in CVAT system.
  • Monitor and enhance various Risk frameworks.
  • Develop Backtest Risk Not in Internal Model Method (RNIMM) in CVAT system.
  • Perform self-assessment for counterparty credit risk models.
  • Support regulatory disclosures related to Internal Model Method (IMM).
  • Coincide regulatory responses with respect to the IMM methodology.
  • Work in advisory capacity to local and global risk managers and Front Office to ensure risk is appropriately captured in our systems.
  • Support annual model validation of the exposure models.

Requirements

  • Master’s in Computer Science, Computer Engineering, or a related field of study.
  • Three (3) years of experience in the position offered or three (3) years as a Vice President, Risk Management, Equity Pricing Senior Quantitative Analyst, Manager, Quantitative Analyst, Software Developer, or a related role.
  • Three (3) years of experience with the following skills:
    • Applying stochastic calculus for derivative pricing and risk factor simulation model for potential future exposure modelling;
    • Evaluating derivative products and pricing for counterparty credit risk exposure modelling;
    • Analyzing statistical null hypothesis testing for counterparty credit risk backtesting modelling;
    • Analyzing statistical linear and non-linear regression for the purpose of potential future exposure modelling;
    • Leveraging potential future exposure modeling for counterparty credit risk;
    • Applying internal modeling methods expertise;
    • Monte Carlo simulation for the purpose of exotic derivative pricing and potential future exposure modeling for counterparty credit risk;
    • Python;
    • C++;
    • Dynamic initial margin modeling;
    • Potential future exposure backtesting method;
    • Utilizing securities financing transactions product knowledge.

Qualifications

Telecommuting permitted up to 2 days per week.

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