About Abderrazak
Arabic
Native or bilingual
English
Fluent
French
Native or bilingual
Experience
- NatixisSenior Consultant C++/C#/Summit FTBANKING AND INSURANCEJune 2014 - Today (12 years)Paris, FrancePROJECT « SUMMIT TCI »SUMMIT TCI is a financial software developed in C++/C#, around the SUMMIT FT package, which manages Back-Office activities (Trade Lifecycle, Payments and Confirmations, Regulatory Reporting, Reporting) on derivative products (Swap, Swaption, FX-FWD, FX-SWAP, FX-OPTION, MUST CDS):- Redesign of regulatory document templates for the transition to CSV Harmonized format replacing FPML format- Creation of a new STP dedicated to GTRH document processing- Implementation of FO event integration in SUMMIT for generating regulatory documents associated with each event (Compression, Novation, FTERM, PTERM, Exercise…)- Integration of COMPOUND Options (Creation of a new FT screen, modification of the Gateway)- Machine Learning: Automation of Trade validation (Classification, LightBGM, TensorFlow 2)PROJECT « SUMMIT SECURITIES »SUMMIT SECURITIES is a financial software developed in C++/C#, around the SUMMIT FT package, for managing back-office activities on securities (BONDS, REPOS, DEAL PAYMENT, LOAN/BORROWING, and STOCKS):- Integration and testing of developments provided by the SUMMIT FT publisher- Development of an MQA/LDR for integrating new SWIFT messages- Development of new specific events around ACCTDRIVER- Development of an electronic deal integration component (Creation of Netting STOCKS and DEAL PAYMENT deals) from third-party data- Development of a C# consultation Web Service (WCF)- Participation in the migration of a Sybase database to an Oracle database- Design, plan, and implement fixes and improvements to existing code (meta, std, FT_Back, FT_Front, STP)- Acceptance and regression testing- Design, plan, and implement fixes and improvements to existing code (meta, std, FT_Back, FT_Front, STP)- Acceptance and regression testingTechnical Environment: SUMMIT FT (V5.7/V6.0/V6.3), C++, C#, Python, SQL, Oracle, Sybase, Linux Scripting, GIT, Jenkins, Python, TensorFlow 2, ControlM.
- CREDIT AGRICOLESenior Consultant C++ Front OfficeBANKING AND INSURANCENovember 2010 - March 2014 (3 years and 4 months)PROJECT « INFINITY-FO » for CA-CIB (CREDIT AGRICOLE)INFINITY-FO is a financial software developed in C++ under Linux, for valuation and risk indicator calculation on vanilla and exotic interest rate derivatives (Caps/Floors, Swaps, Swaptions, FX Options, Cancellable Options…), intended for trading and risk management teams:- Development and integration of the Credit Value Adjustment (CVA) component- Development of Monte Carlo simulations for Swaptions using C++11 multithreading (thread pools)- Integration of the multi-curve framework into the SABR model for Swaption pricing- Development and integration of the multi-curve framework for exotic interest rate products using the research library- Iterative integration of the analytical calculation library for research (X12)- Study and development of new features in collaboration with research, trading, and risk management- Development and analysis of risk indicators- Design, plan, and implement fixes and improvements to existing code- Regression testingPosition: Senior C++ Front Office ConsultantTechnical Environment: Analytical Library, Python, C++11, SQL, Sybase, Linux
- HSBCSenior Consultant C++ Credit RiskBANKING AND INSURANCESeptember 2007 - September 2010 (3 years and 1 month)PROJECT « CREDIT RISK & METHODOLOGY » for HSBCWithin the context of a trading floor activity, development on a counterparty risk management application for interest rate products and derivatives (Swaps, Loans/Borrowings, Caps/Floors, FRAs, OTC Options, FX Options):- Analysis and estimation of workloads- Implementation of new credit equivalent calculation methodologies- Implementation of an OTC options netting algorithm- Integration of historical VaR- Development, qualification, and integration- User support (level 2/3)Position: Senior C++ Risk DeveloperTechnical Environment: C++, SQL, PL/SQL, Windows
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Education
- Master Degree in Data ScienceHigh School of Economics2022Python, Data Scrapping, Modern Decision Making, Applied Machine Learning, Computational Learning Theory, Deep Learning, Bayesian Methods in ML, Deep Generative Models, Optimization for Machine Learning.
- Master of Applied Mathematics and StatisticsCNAM2010Mathématiques financières, économétrie de la financce, économétrie de l'assurance. Gestion du risque financier.
Certifications
- Certificate in Quantitative Finance (CQF)Fitch Learning2010