Mahdi Kallel

Mahdi Kallel Email and Phone Number

Risk management @ Natixis
Paris, FR
Mahdi Kallel's Location
Greater Paris Metropolitan Region, France, France
Mahdi Kallel's Contact Details

Mahdi Kallel work email

Mahdi Kallel personal email

n/a
About Mahdi Kallel

Experienced quantitative analyst with a demonstrated history of working in the financial services industry. Skilled in Market Risk, Counterparty Credit Risk and more generally in financial risk measurement.

Mahdi Kallel's Current Company Details
Natixis

Natixis

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Risk management
Paris, FR
Mahdi Kallel Work Experience Details
  • Natixis
    Risk Management
    Natixis
    Paris, Fr
  • Hsbc
    Market Risk Quant
    Hsbc Aug 2022 - Present
    London, Gb
    - till Aug2024: IBOR transition project- FRTB: IR IMA model
  • Natixis
    Intraday Risk Monitoring
    Natixis Sep 2020 - Present
    Paris, Fr
    build a new framework from scratch for intraday monitoring of market risk
  • Hsbc
    Ima Equity Modeller
    Hsbc Jun 2019 - Sep 2020
    London, Gb
    ECB homologation of the market risk internal model for equities as part of the brexit program
  • Natixis
    Market Risk Modeling Analyst - Trim / Frtb Projects
    Natixis Jun 2017 - Jun 2019
    Paris, Fr
    - First phase: ECB investigation (TRIM project) Redaction of quantitative reports in response to the queries and investigations of the ECB (European Central Bank); Strengthening the documentation corpus of the institution for the VaR model;- Second phase: Remediation plan (TRIM project) Designing, implementing and comparing multiple VaR diffusion methodologies (in R) on the hole Natixis trading book (diffusion under Kernel smoothing distributions, Gaussian distributions, Johnson distributions, EWMA distributions...); Changing the equity implied vol and credit spread mapping and projection methods; setting multiple periodic test to monitor the assumptions made on the risk factor diffusion model, the shock choice by asset class, the MC VaR convergence, the VaR backtesting and the 10 day VaR scaling approximation Designing, implementing and comparing multiple credit spread diffusion methodologies for the CVA- VaR computation (in R) (Gaussian model, log-normal model, hybrid models, shifted log-normal model...); this work is also embedded in FRTB project
  • Bnp Paribas
    Counterparty Credit Risk Model Validation Analyst
    Bnp Paribas Aug 2016 - May 2017
    Paris, Fr
    - Challenging, testing and approving a new EEPE backtesting method (among many proposed). The tests have been performed independently using R and applied on both hypothetical and real portfolios. A detailed certification has been drafted and delivered as an official response to the ECB recommendation;- Redaction of quarterly EEPE backtesting reports where deep analyses are performed to explain EEPEbacktesing results on all asset classes;- Challenging, testing and approving a new model (multifactorial Exponential Ornstein-Uhlenbeck process) for Commodity implied volatilities;- Challenging and approving a new PV check method based on the discrepancies between risk and FO pricers (to detect any anomalies on the risk pricers);- Approving upgrades of netting rules for the BNPP indemnified agency lending perimeter.
  • Indosuez Wealth Management
    Money Market Pricing Consultant
    Indosuez Wealth Management Jun 2016 - Jul 2016
    Paris, Île-De-France, Fr
    Improvement of the pricing engine of money market products used by the group’s private banks:- Diagnostic and cartography of the accounting process of Money Market derivative products;- Cross asset data quality analysis;- Documentation of the action points to perform to ameliorate the accounting process and data
  • Pwc
    Quantitative Analyst - Associate
    Pwc Dec 2014 - May 2016
    Gb
     June 2015 – May 2016: Counterparty Credit Risk Modeler (Société Générale):Commodity modelling for Counterparty Credit Risk:- Modelling commodities using multifactorial Exponential Ornstein-Uhlenbeck and B&S processes (Energy, Metal, Precious metal, Soft…);- Improving, calibrating and backtesting the diffusion model;- Reviewing and improving the model documentation;- Pricing of commodities’ formula swaps in C++;- Backtesting of the pricers and calibration parameters;- Monitoring CCR regulatory and economic indicators (PFE, EEPE, EE…). May 2015 – June 2015: Asset and Liability Management (Crédit Agricole Nord-Est):Optimization of macro-hedging portfolios- Reorganization of the portfolios’ product compositions used for hedging different ALM Gaps;- Simulation of different economic rate and inflation scenarios;- Documentation of the strategic decisions taken after the reorganization. Mar 2015 – April 2015: Prudent Valuation (Amundi):Prudent Valuation Computation of all fund parts held by the group- AVA calculation as part of the prudent valuation of the fund parts held and used in the regulatory required capital by the group;- Documentation of all the prudent valuation process and results. December 2014 – Mar 2015: Derivative pricing and model revues (For many French CIBs):- Review of model documentations;- Review of pricing methodologies and frameworks;- Redaction of Audit and Approval Reports;- Raise recommendation if any deficiencies found;- Pricing cross asset exotic products (Callable, Range accrual, Sticky, Cancellable, American, barrier products…).
  • Natixis
    Market Risk Quantitative Analyst
    Natixis May 2014 - Nov 2014
    Paris, Fr
    Upgrading the pricing library for callable products used for ALM purposes- FO Model validation for callable products;- Asset and Liability Management: Gap calculation and hedging;- Pricing callable products using the Hull&White trinomial trees and proposing Gap ALM hedging methods using these products.
  • Société Générale
    Counterparty Credit Risk Quantitative Analyst
    Société Générale Sep 2012 - Aug 2013
    Paris, Fr
    Upgrading Equity, FX and Credit models:- Improvement of the FX model from BS model to Markov switching model with jumps;- Review and improvement of the model documentation;- Review and improvement of the calibration and backtesting methodology documentation;- Implementation of sophisticated bootstrap methods for time-series.

Mahdi Kallel Skills

Matlab Latex Financial Modeling Alm Excel/vba R Risk Management Financial Risk Vba C++ C Market Risk Access Quantitative Finance Counterparty Risk

Mahdi Kallel Education Details

  • Ensta Paris
    Ensta Paris
    Quantitative Finance
  • University Of Paris I: Panthéon-Sorbonne
    University Of Paris I: Panthéon-Sorbonne
    Quantitative Finance
  • The University Of Kansas
    The University Of Kansas
    Department Of Mathematics

Frequently Asked Questions about Mahdi Kallel

What company does Mahdi Kallel work for?

Mahdi Kallel works for Natixis

What is Mahdi Kallel's role at the current company?

Mahdi Kallel's current role is Risk management.

What is Mahdi Kallel's email address?

Mahdi Kallel's email address is ma****@****mail.fr

What schools did Mahdi Kallel attend?

Mahdi Kallel attended Ensta Paris, University Of Paris I: Panthéon-Sorbonne, The University Of Kansas.

What are some of Mahdi Kallel's interests?

Mahdi Kallel has interest in Mathematics, Consulting, Computer Science, Probability, Statistics, Quantitative Finance.

What skills is Mahdi Kallel known for?

Mahdi Kallel has skills like Matlab, Latex, Financial Modeling, Alm, Excel/vba, R, Risk Management, Financial Risk, Vba, C++, C, Market Risk.

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