Model Risk Quant - Equity & Hybrids Derivative Validator, VP

Recruiter
Morgan McKinley
Location
London, United Kingdom
Salary
Competitive
Posted
27 Sep 2021
Closes
13 Oct 2021
Ref
12207442
Job Function
Risk Management
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Job Summary
  • London
  • Permanent
  • BBBH794256
  • Sep 24, 2021
  • Competitive

Job Description
Global investment bank seeks a VP level Model risk Quant responsible for validating and model risk management of Equity & Hybrids derivative pricing models for Trading and Hedges

Role Overview:

This position will be responsible for validating and model risk management of Equity & Hybrids derivative pricing models for Trading and Hedges. This position requires strong derivative pricing skills along with relevant industry experience. Validation work will involve reviewing model assumptions, verifying the mathematical formulation, independently implementing the business/desk model when needed, developing benchmark models to conduct effective challenge, and assessing and quantifying model limitations to inform stakeholders of model risk to determine compensating controls.

Role Responsibilities:
  • Manage model risk across the model lifecycle including model validation, ongoing performance evaluation and annual model reviews.
  • Provide guidance to junior validators as and when necessary.
  • Manage stakeholder interaction with model developers and business owners during the model lifecycle.
  • Represent the bank in interactions with regulatory agencies, as required.
  • Present model validation findings to senior management and supervisory authorities.
  • Provide effective challenge to model assumptions, mathematical formulation, and implementation.
  • Assess and quantify model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls.
  • Contribute to strategic, cross-functional initiatives within the model risk organization.

Experience / Competencies:
  • Master's degree in a quantitative field (physics, mathematics, computer science, financial engineering, etc.) with relevant experience required.
  • Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a PhD, a second Master's degree, CPA or CFA.
  • Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation, ideally experience in modelling of equity derivative products.
  • Strong derivative pricing skills a must (stochastic calculus, numerical techniques, coding in C++/python).
  • Strong communication skills with the ability to find practical solutions to challenging problems.
  • Team work and commitment a must

Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.

BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.

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