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Quantitative Analyst – Global Risk Management

2 months ago


London, Greater London, United Kingdom Gresham Search Full time

About the Role

This position is part of a global team of quantitative analysts based in multiple locations, working across various model types used in global markets derivative risk management.

The primary responsibility in this role will be the development of quantitative methodology for risk management, particularly in derivatives counterparty exposure and market risk.

This will involve the prototyping of methodology with associated documentation and presentation. The successful candidate will need to gather and understand requirements, research possible methods and solutions, and develop models.

The role is genuinely cross-asset and involves working on relatively long-term projects. Experience of any asset class will be considered, and this could be an opportunity for broader exposure for someone who has worked on one or two asset classes.

This is a role for an established quantitative analyst looking to take the step into a pivotal methodology role with exposure across the bank and with regulators.

Key Responsibilities

  • Develop quantitative methodology for risk management, particularly in derivatives counterparty exposure and market risk.
  • Prototype methodology with associated documentation and presentation.
  • Gather and understand requirements, research possible methods and solutions, and develop models.
  • Work with development-focused teams to take the model through production and contribute to quality assurance and regulatory adherence.

Requirements

  • Excitement about understanding and solving complex quantitative problems.
  • MSc or PhD in a quantitative subject.
  • In-depth knowledge and understanding of capital markets, derivative pricing models, and/or market and counterparty risk modeling methods.
  • Competent programmer.
  • Prior work experience that aligns with or leads to the responsibilities of this role.
  • Strong communication skills and experience of leading either model development or validation projects.