I am a Computer Science Engineer (M.S., INSA Lyon) with 15+ years of experience at the crossroads of technology, data engineering, and quantitative and systematic finance.
After a career designing and managing systematic investment strategies, I co-founded MCFT, a next-generation index provider. At MCFT we built an index factory: a platform that enables clients to design, backtest, and calculate custom indices with unprecedented speed and flexibility. Factors, thematics, optimizations, all live in minutes.
I’m passionate about bridging deep tech and asset management—bringing the rigor of systematic research and engineering into index design and investment solutions.
ResearchOps : designing methodology, frameworks and tools to oversee, optimize, and consolidate complex technical and scientific projects., typically within the finance sector
Architecture & DevOps : defining workflows, toolchains, and architectures that ensure reliability, performance, and security
Production leadership : managing teams and external partners, scaling operations, monitoring quality, and optimizing performance
Strategic support : supporting commercial and client-facing activities with presentations, technical insights, and evangelization of innovation
Data engineering : ETL, pipelining, fetching (crawling, API, scrapping, etc.), processing (standard techniques, nlp, AI, cleaning, etc.), storage (dbs, lakes, etc.)
Data analysis : numerical and statistical analysis of large datasets, exploratory analysis, machine learning, NumPy, scikit-learn
Backend development : data management (RDBMS, NoSQL, custom), services (REST, RPC, custom), IPCs (shared memory, sockets, etc.), complex systems (real-time processing, caching strategies, scheduling), monitoring, profiling, analytics
Frontend developement : GUIs, WUIs, TUIs, responsive design, MVC, frameworking (React, TKinter, Swing)
Generative AI: production grade prompt engineering / embedding techniques
Production : Linux, bare metal/cloud (AWS stack), CI/CD, deployment (Docker, custom), testing, performance and optimisation
Languages : expert in Java, Python, very familiar with Objective C, Shell, JS, PHP, HTML/CSS, SQL, XML, JSON
R&D : empirical analysis of financial markets, fundamentals, news, and alternative datasets to support investment opportunities
Alpha : building signal engines, backtesting tools, exploratory frameworks for absolute performance strategies
Beta : building systematic/rule-based/low-touch systems for end-to-end strategy management, from definition to execution
Production : design & development of systematic software (index factory, PMS, OEMS, etc.)
Operations : providing end-to-end support across front, middle, and back-office functions to ensure smooth deployment of investment strategies