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Quantitative Market Risk Analyst

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Paris, Île-de-France Natixis Temps plein
About Natixis Corporate & Investment Banking

Natixis Corporate & Investment Banking is a leading global financial institution that provides advisory, investment banking, financing, corporate banking, and capital markets services to corporations, financial institutions, financial sponsors, and sovereign and supranational organizations worldwide.

Our teams of experts in 30 countries advise clients on their strategic development, helping them to grow and transform their businesses, and maximize their positive impact. We are committed to supporting the environmental transition by aligning our financing balance sheet with a +1.5°C trajectory by 2050.

We are part of the Global Financial Services division of Groupe BPCE, the 5th largest European financial institution and the second-largest banking group in France through the Banque Populaire and Caisse d'Epargne retail networks.

Job Summary

You will join the Market Risk Modelling team, within the Market & Counterpart Risk Modelling division, as a Quantitative Market Analyst. Your daily tasks will include designing and proposing new methodologies, evaluating their impacts, supporting the implementation of different methodologies, and providing quantitative support within the risk department on quantitative market issues.

You will participate in the creation and improvement of methodologies in the Independent Price Verification (IPV) calculation framework, market reserves, and adjustments required for Prudent Valuation. You will also be involved in the design and improvement of risk measurement models such as VaR, Stressed VaR, IRC/DRC, EEPE (Expected Effective Positive Exposure), Economic Capital, and other Natixis market risk models.

Requirements

About you: If you recognize yourself in the following description, you are made to work with us:

  • You have at least 2 years of experience in the functions of quant risk, front office, or validation, ideally on cross-assets issues.
  • You are familiar with financial mathematics and key financial instruments, the main risk measures, statistical models, and data processing techniques, and one or more programming languages (Python, C++, R).
  • You have an excellent relationship, a very good listening ability, and are autonomous, organized, strong in proposal, and motivated by teamwork.
  • You master English with a B2 level.