The model validation team is the essential team to ensure the viability, robustness and reliability of the FO pricing models before they can be used for production purpose. All the new FO models/methodologies or any methodological changes should be validated by the team. For each validation request, the team analyses the assumptions and the proposed model/methodology to verify the theoretical relevance to the problem it is designed to address. Then tests and analysis will be done to check the implementation as well as the behaviours of the model/methodology in terms of robustness and reliability. As long as it is possible, in particular for important pricing models, the team will re implement the model in the team’s internal library which covers all the asset classes (IR, FX, Hybrid, equity, XVA, credit). The whole study is expected to challenge all the aspects of the model/methodology and its numerical implementation. Moreover, the team exchanges closely with FO Research team and Trading desk on a large range of topics related to models & methodologies.

In addition, the team also works closely with the RM team and provides them with technical support on all model/methodology related issues, in particular, on the various risk reports.

The team is also in charge of the governance of models/products inventory and ensures the models/products are reviewed on a regular basis in function of their complexity and materiality. The team is closely involved in the interaction with both internal and external Audit teams.

The candidate is required to possess at least a master degree level in Financial mathematics or equivalent. In particular, the candidate should be familiar with stochastic calculus (Brownian motion, Ito Lemma, numeraire change, …) and relevant numerical methods (Monte Carlo, PDE resolution, asymptotic analysis, …). In addition, the candidate should also be familiar with at least one of programming languages such as C++, Java, C# or Python as he/she will need to implement in the team’s C++ Library. Team work is the essential part of the role and communication capacity is also required for exchanges with various teams (FO, Risk, IT, etc).

Key Responsibilities

• Responsible for the validations for the Credit and XVA (CVA, DVA, FVA, IMVA…).
• Implementation of alternative pricing model, study of model risk.
• Participate in the design, specification and implementation of the reserves / provisioning methodologies for the model risk.
• Involved in all products / new activities within Credit and Scarce Resources Desk (pricing, risk measurement…).
• Quantitative support: Provide support to the risk management for all quantitative issues on P&L, sensitivities & VAR, Stress… Others product lines (FX, equity…): Involved if necessary in non-(Credit or XVA) quantitative issues and validation process.

Confidentiality – if applicable

• You may become aware of information of a confidential nature relating to the documents you work on. You shall treat any and all information as strictly confidential and will not release, disclose or divulge any or all of such information to any other person, including (but without limiting the foregoing) any employer, potential employer, journalist, recruitment consultant, educational establishment, friend, acquaintance or relative
• You shall not take or make copies of or reproduce in any manner any Information whether by photocopy, photograph, in
  written form, computer disk or audio tape or by any other means or upon any other media, nor shall you compile or make notes of or abbreviate any of the Information in any manner whatsoever
• You agree and acknowledge that any release, disclosure, divulgence or use of any or all of the Information shall cause serious damage and harm to CRÉDIT AGRICOLE CIB or any Group Company.
• You agree to comply with all applicable laws, regulations, codes and any policies and procedures (including but not limited to the compliance handbook) that CRÉDIT AGRICOLE CIB or any Group Company issues from time to time and which apply to you and failure to do so may result in the termination of the engagement

Legal and Regulatory Responsibilities

• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the London Compliance manual and the Financial Crime Policy. 

The candidate is required to possess at least a master degree level in Financial mathematics or equivalent

• Experience in dealing with exotic derivatives.
• Deep knowledge of Credit Derivatives pricing models.
• Good knowledge of Credit, CVA, DVA, and FVA pricing methods

• Analytical
• Innovative
• Organised
• Team orientated 

• Strong skills in mathematical finance.
• Strong skills C++ programming and ability to programme in a common library project.
• Python, VBA programming