Poser Alexandre Partner - Quantitative Finance & Digital Assets

Partner - Quantitative Finance & Digital Assets Poser Alexandre

Professional Background

Alexandre Poser graduated from CentraleSupélec (Grande École program), where he specialized in applied mathematics for finance and signal processing. He also studied at the École Nationale Supérieure des Arts et Métiers (Arts et Métiers ParisTech) and holds an MBA from IAE Paris.

In addition, Alexandre is a graduate of the Advanced Blockchain - Decentralized Finance program at École Polytechnique.

He joined Forvis Mazars in 2015 as a quantitative analyst.

Quantitative Finance Expertise

Alexandre is now a Partner specializing in quantitative finance, advising a wide range of clients on complex financial modeling and risk analysis.

Since 2016, Alexandre has been actively involved in the implementation of prudential models based on the Basel III agreements for a large number of systemically important banks. In particular, for the Fundamental Review of the Trading Book (FRTB), he assists clients with model implementation, submission to regulators, hedging of market and CVA risks, and advocacy in jurisdictions such as Europe, the United Kingdom, and the United States.

His expertise includes:

  • Financial risk modeling and measurement
  • Asset valuation and pricing models
  • Quantitative analysis for complex financial instruments
  • Development of methodologies for emerging risks

He also focuses on innovative areas such as:

  • Digital assets and cryptocurrencies
  • Artificial intelligence applied to financial modeling
  • Advanced quantitative risk frameworks

Alexandre has also taught applied mathematics for market finance at CentraleSupélec, sharing his expertise in quantitative methods and financial engineering.

Areas of Expertise

  • Quantitative Finance & Financial Modeling
  • Risk Modeling & Valuation of Complex Assets
  • Digital Assets & Emerging Financial Risks
  • AI in Finance & Advanced Analytics
  • Market Finance Mathematics (Teaching & Research)
  • Financial Engineering Applications

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