Michelangelo De Francesco
ERates Quantitative Research Analyst
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMichelangelo De Francesco is a London-based quantitative researcher and developer with nine years of experience building low-latency, systematic trading and market-making systems across FX, rates and crypto markets. He combines hands-on software engineering (Python, React, Node, SQL, Docker) with quantitative modelling—having implemented auto-hedgers, pricing engines, PD calibration tools and time-series models for crypto indexes. At Sumitomo Mitsui and UniCredit he delivered production-grade eTrading infrastructure and automated model workflows, while earlier roles saw him design big-data pipelines and CI/CD that meaningfully sped deployments. He holds an MSc in Economics & Finance and a UCL summer specialization in Quantitative Finance, and has published research-grade work on ML for real estate pricing based on a 4.5M+ row dataset. Practical, data-driven and operationally minded, he excels at turning research models into robust, low-latency production systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science Economics & Finance, Master of Science Economics & Finance at Università Ca' Foscari VeneziaUniversity College London
English, Italian, French
Stackoverflow
1reputation
2kreached
1answer
2questions
Github Skills (43)
reactive9
javascript9
visualization9
mongoose9
java9
typescript9
data-visualisation9
junit9
recharts9
react9
boilerplate8
data-visualization8
charts8
integration-testing8
backend8
Programming languages (7)
Github contributions (5)
DFMichelangelo/PERN-Boilerplate-Backend
Jul 2020 - Sep 2022
The backend of PERN (Postgres, Express, React, Node) Boilerplate for simple project bootstrap
Contributions:184 commits, 4 PRs, 207 pushes in 2 years 2 months
expresspwamongoosereactjsmongodb
DFMichelangelo/BackTestify-Backtester-Engine
Oct 2021 - Mar 2022
Backtesting platform for algorithmic trading strategies
Contributions:41 commits, 47 pushes, 2 branches in 4 months
algorithmic-tradingbacktesthigh-frequency-trading
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