Mariem Hbaieb

Angestellt, Quant/IT Quant Consultant, INGENIANCE

Paris, Frankreich

Fähigkeiten und Kenntnisse

Quantitative Finance
C++
Credit Risk
Interest rate derivatives
SVN
Git
Jenkins
Microsoft Visual Studio
Eclipse
R
MatLab
Microsoft Excel
LaTeX Editor
Asset Management
Credit Derivatives
Stochastic Analysis
Scilab
Linux
Confluence
Jira
Agile Methods

Werdegang

Berufserfahrung von Mariem Hbaieb

  • Bis heute 5 Jahre und 6 Monate, seit Nov. 2018

    Quant/IT Quant Consultant

    INGENIANCE

  • Bis heute 5 Jahre und 6 Monate, seit Nov. 2018

    QUANT/ IT QUANT consultant (External)

    Natixis

    R&D Front office, Fixed Income Team + Designing, with collaboration with Quants, PMPs and sales, the pricing library of interest rate, credit and inflation derivatives. + Developing and advising on improving the credit risk model prototype. + Improving the library architecture: refactoring, reverse engineering and integrating new features. + Debugging and Troubleshooting.

  • 6 Monate, Apr. 2018 - Sep. 2018

    Quantitative Research Intern

    Ingeniance

    + Calibrate a regime switching stochastic volatility model: an extension of the Heston model where we add a hidden Markov continuous chain. + For parameters estimation, we use an extension of the Expectation-Maximization algorithm called Baum-Welch. + Replicate the volatility surface of the VIX and S&P 500 market.

  • 3 Monate, Mai 2017 - Juli 2017

    Research Intern

    INRIA

    + Studying the insurability of French farm income and modelling the joint distrubtion function of prices and yields using copula fitting techniques: Archimedean, elliptical and Plackett copula families. + Goodness-of-fit tests to select the right copula model: K-plots based on Kendall distrubution function, QQ-plots based on Rosenblatt transformation and other statistical tests based on Kendall process.

Ausbildung von Mariem Hbaieb

  • 2017 - 2018

    Modelling and Mathematical Methods in Economics and Finance

    Université Paris 1 Panthéon-Sorbonne

    + Risk management + Algorithmic trading + Asset Management + Interest Rate Models + Pricing and Hedging Derivatives

  • 2015 - 2018

    Quantitative Finance

    ENSTA ParisTech

    + Credit and Counterparty Risk Management + Calibration of Local and Stochastic Volatility Models + Jump Diffusion Process and its Use in Finance + Partial Differential Equations in Finance

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Französisch

    Fließend

  • Arabisch

    Muttersprache

Interessen

Music
Puzzle

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