Marco Bardoscia

Research Advisor - Research Hub at UCL

London, England, United Kingdom
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Summary

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Senior
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Top School
Marco Bardoscia is a research advisor at the Bank of England and an honorary associate professor at UCL, combining a PhD in theoretical physics with over a decade of applied research in financial stability, systemic risk and complex systems. He designs and implements stress‑testing, network and agent‑based models for central banking and has published extensively at the intersection of economics, finance and statistical physics. His career bridges academia and policy—spanning postdocs, visiting roles and hands‑on R&D in blockchain and derivatives market analysis—enabling pragmatic, theory‑driven solutions for regulatory problems. Known for translating advanced network science into tools for supervision and clearing‑house risk assessment, he pairs strong programming skills with a track record of influencing stress‑testing strategy. An understated strength is his habit of cross-pollinating ideas from statistical mechanics into macro‑financial modelling, revealing systemic fragilities that standard approaches often miss.
code10 years of coding experience
job4 years of employment as a software developer
bookLiceo Scientifico "E. Majorana" - Putignano
bookDoctor of Philosophy (PhD) Theoretical Physics, Doctor of Philosophy (PhD) Theoretical Physics at Università degli Studi di Bari
languagesItalian, English, French
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Github Skills (13)

sec8
trading7
finance7
risk-management7
financial7
valuation7
ipython6
python6
jupyter6
economics5
data-science5
financial-data5
notebook5

Programming languages (1)

Python

Github contributions (2)

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marcobardoscia/neva

Jun 2017 - Feb 2019

Network valuation in financial systems
Contributions:3 commits, 2 PRs, 4 pushes in 1 year 7 months
financialstock-marketfinancial-datatradingsec
ipython/ipython

Jul 2016 - Jul 2016

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Contributions:1 comment in 1 day
ipythonjupyterdata-sciencenotebookpython
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