Andrea Di Iura is a Senior Data Scientist in Rome with a PhD in Theoretical Physics and a decade of experience applying quantitative methods to finance and energy markets. He has built machine learning models for prepayment risk and ALM at CDP, developed algo‑trading strategies and time‑series forecasting for Enel's Global Trading desk, and researched stochastic and Bayesian approaches for trading at Consitalia. Comfortable bridging deep research and production, he combines advanced statistical modeling with hands‑on implementation in high‑stakes trading and risk environments. Known for cultivating strong partner relationships, he brings a pragmatic focus on delivering measurable business impact. A former teaching assistant in physics, Andrea retains a researcher's rigor and curiosity that surface in methodical problem framing and innovative model design.
10 years of coding experience
5 years of employment as a software developer
Diploma Progetto Brocca, Diploma Progetto Brocca at Liceo Scientifico
Master of Science (MS) Physics, Master of Science (MS) Physics at Sapienza Università di Roma
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Università degli studi Roma TRE
Stochastic processes simulation and calibration in python
Contributions:5 releases, 12 PRs, 20 pushes in 4 months
stochastic-processes
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