Youssef NAJID

Accomplished Mission: Financial Platform Development Development of a quantitative finance platform for backtesting, financial instrument modeling, and market risk analysis. Missions: Designed, developed, and validated a C++-based trading software platform focused on quantitative finance. Implemented pricing modules for options, market calendars, and structured derivatives using the QuantLib library. Utilized Docker for multi-environment deployment (Linux) and automated build processes within a CI/CD pipeline. Integrated C# components for interprocess communication with front-office tools and real-time data management. Conducted unit testing and performance benchmarking of financial algorithms to optimize latency and robustness. Worked closely with business teams (risk, quant) to ensure compliance with financial and regulatory requirements. Results: Stable, high-performance platform well-received by clients. Technical Environment: C++ (17/20), C# QuantLib, pandas, Numpy Linux Git, Docker, CMake, Boost TDD, Agile, CI/CD

Sonar Control and Supervision Modules Development: Developed control and supervision modules for sonar systems. Integrated these modules into the embedded controller's software architecture. Library Interface Development (mission at IXBLUE ): Led the development of an interface library for enhanced functionality. Calibration and Performance Evaluation Tools: Engineered tools for the calibration and performance assessment of sonar systems. Data Consistency Analysis: Analyzed the coherence between imaging data and bathymetric data. Prepared for data fusion to enhance exploitation. API-Based Module Integration in C++: Integrated developed calculation modules using the C++ API. Real-time Sonar Imaging Processing: Integrated real-time sonar imaging processing using aperture synthesis.

Cross-Platform Interface Library: Designed and developed a versatile interface library in C++, ensuring compatibility with both Windows and Linux environments. Integration with Acquisition-Controller: Implemented communication pathways for sending commands to the sonar through the acquisition-controller. Status and Acknowledgment Reception: Established mechanisms to receive and process status updates and acknowledgments from executed commands.

Automatic Ship Detection: Designed and implemented a Python program using OpenCV, MIL, Keras, and TensorFlow libraries for automatic ship detection in SAR imagery. Automatic Recognition: Developed features for automatic ship recognition, enhancing identification accuracy. Technical Versatility: Demonstrated technical versatility by utilizing various libraries and frameworks to achieve complex goals.

Worked as a C++ Software Engineer on a financial risk management project aimed at developing high-performance tools for analyzing market risk, optimizing portfolios, and managing financial derivatives. The project involved real-time data processing, quantitative modeling, and system optimization to support trading operations. Technical Environment: QuantLib, C++, Python

Optimization and Security Audit and Diagnosis of the Fiber Optic Network Project