Credit Suisse - ENO - MRQ FRTB Methodology

We offer :

The main responsibilities of this role are the development and specification of market risk methodology across asset classes, in particular development of market risk models to be used under new regulations as prescribed by Fundamental Review of trading Book (FRTB). More specific all, the responsibilities include:

Understand the products traded and trading strategies used

Identify all sources of market risk

Develop and specify the internal market risk models

Understand risk models (VaR & RNIV) currently in use and proposed changes under FRTB regulations

Development and implementation of risk methodologies to be used for market risk measurement under FRTB

Define and specify implementation of stress scenarios for non-modellable risk factors

Define and specify implementation for standard rules capital calculation (sensitivity based approach) at group and trading desk levels

Evaluate the impact of the new models and captial rules

Ensure that any significant tail-risk is highlighted to the Scenarios team

Support the development and specification of the Economic Risk Capital (ERC) model

Collaborate closely with the Model Validation group to ensure that the risk sensitivities used for risk calculations are appropriate

Collaborate closely with the data team to ensure that the historical data used in calculations are appropriate

Collaborate closely with the change teams, to ensure that any changes to methodology are appropriately project-managed for implementation.

Ensure that all risk models are adequately documented for both internal and external (e.g. regulatory) purposes.

You offer :

The role would suit a candidate with experience in quantitative risk measurement within an investment bank or, more broadly, with experience in a quantitative role within finance. It is essential that the candidate has a very good understanding of financial mathematics, and in particular an understanding of derivative instruments and the risks they generate. He or she also needs to understand the effects, and relative importance, of underlying risk factors upon the value of the instruments.

A very strong mathematical background is essential. In addition a background in statistics, time series analysis and probability theory would be of particular interest. Problem solving skills, as well as computational and communication skills, are essential. The candidate should be able to explain complicated concepts clearly to all members of staff, and present their proposals in a clear and precise manner to senior management and regulatory bodies.