Computer Science Engineer (M.S.) from Grande Ecole d’Ingénieur INSA Lyon France, specialised in technology management, data and software engineering, architecture, ops and systems, I have over 12+ years of experience working on high-tech projects, specifically in the field of systematic and quantitative asset management.TECHNOLOGY MANAGEMENT- ResearchOps: design, formalisation and tooling of the operational ResearchOps methodology to oversee, optimise, and consolidate highly sensitive technical/scientific production projects, typically within the asset management sector- Architecture and DevOps : workflows, toolchains, architecture design, delivery, performance/continuity/SLA, security- Production management : team management, supplier management, codebase management, quality control, familiar with remote context / pair programming, sizing and optimum studies, performance monitoring and analysis, technology watch- Project support : audits, functional specifications, project management support, estimations, budgeting, benchmarkingPRODUCTION ENGINEERING, RESEARCH ENGINEERING, DATA SCIENCE- Data engineering : ETL, pipelining, fetching (crawling, API, scrapping, etc.), processing (standard techniques, nlp, 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 development : GUIs, WUIs, TUIs, responsive design, MVC, frameworking (TKinter, Swing, React, Angular)- Production : Linux, bare metal/cloud (AWS stack), CI/CD, deployment (Docker, custom), testing, performance and optimisation- Langages : expert in Java, Python, very familiar with Objective C, Shell, JS, PHP, HTML/CSS, SQL, XML, JSONQUANTITATIVE FINANCE- R&D : empirical analysis of financial time series, low/medium/high frequencies- Data : markets, fundamentals, news, events, regulatory data, analyst forecasts, etc.- Alpha : implementation of signal engines, backtesting tools, exploratory frameworks for absolute performance strategies- Beta : development of portfolio construction tools for factor and thematic investing- Production, asset management : design and development of systematic portfolio management software (PMS, OEMS, etc.).- Operations : technological support across the entire front/middle/back-office chain