Mathieu Delehaye

Verimatrix - Senior Software Engineer (Cybersecurity)

2021 – 2024 | UK

• Developed C/C++/Python protection tools with SQL for anti-tamper and obfuscation in client software (e.g., JPMorgan, Dolby)
• Reduced runtime overhead by 50% with a lightweight security mode
• Contributed to a client-facing React/Python Flask visualisation tool
• Implemented anti-debugging protections on Android/Linux by bypassing kernel-level restrictions
• Diagnosed low-level issues using gdb, pdb, Procmon, and Ghidra
• Refactored Jenkins pipelines to support parallel builds, reducing build times by 25%

Metix Medical - Software Engineer (Digital Health)

2020 – 2021 | UK

• Designed ECG digital filters in Python/Numpy/SciPy and implemented in embedded C for DSP
• Developed C++/Qt software on Yocto Linux, aligned with ISO 13485 and UX specs

Alstom (via Abylsen) - Software Engineering Consultant (Transportation)

2019 – 2020 | Belgium

• Developed real-time signalling software in C and PLC (CODESYS) to improve train driver awareness and reduce operational incidents
• Engineered automatic reconnection with the train's central computer and resolved TCP/CIP buffer overflow issues using Wireshark
• Increased system robustness and reusability with shared libraries; implemented secure driver authentication using a C-based SHA-1 hashing library

Smals - Project Manager (eGovernment, Finance)

2013 - 2019 | Belgium

• Developed Python/SQL tools for automating access to tax and income data
• Managed projects for finance and healthcare; maintained SOAP services
• Delivered citizen records to tax authorities and banks

Alpha Technologies - Embedded Software Engineer (Energy)

2012 - 2013 | Belgium

• Built embedded C#/.NET systems with CAN and TCP for power monitoring
• Designed load balancing algorithm that reduced energy loss by 15%

FintechModeler

2023 – 2025 | github.com/mathieudelehaye/FintechModeler

Python/Pandas/C++ app to price European options using Black–Scholes and binomial models; GUI and REST API deployed on Azure.

MSc Financial Mathematics (part-time), expected First-Class

Queen Mary University of London | 2024 - 2026

Modules: Mathematical Modelling in Finance, Advanced Derivatives Pricing and Risk Management (hedging, diversification and mean-variance analysis, utility maximisation), Continuous-Time Models in Finance, Financial Markets and Instruments, Machine Learning with Python, Neural Networks and Deep Learning, C++ for Finance, Advanced Computing in Finance.

MEng Electrical Engineering & Master in Management, 2:1

University of Mons

Modules: Statistics, Signal Processing, Modern Physics, Electronic Systems, Computer Networks, Microeconomics. Finance project: Statistical analysis of quality regulation impact on company ROA/ROS in R. Electronic project: LCD scrolling message display using Xilinx Spartan FPGA and Verilog; debugged and optimised with logic analyser. Dissertation: Unsupervised ML for tumour detection in medical imaging using K-means and transforms (Fourier, Cosine, Wavelet).