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Javier Mancilla Montero

Javier Mancilla Montero

Quantum Machine Learning researcher and fintech risk leader

Barcelona, Spain
nitter
Santiago, Chile
ebankingnews
Joined January 2025
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Summary

Applied quantum machine learning for finance: Javier focuses on translating QML research into practical products for fintech—most notably the Systemic Quantum Score (SQS) and related SDKs that aim to improve credit‑scoring and fraud detection in low‑data / skewed regimes. arxiv+2
Researcher‑author and educator: he co‑authored a Packt book on financial QML, publishes tutorials and articles (Medium, Substack), and maintains public code and notebooks—demonstrating a mix of hands‑on engineering, reproducible examples, and accessible technical writing. packtpub+2
Entrepreneurial leader in QML: he has co‑founded Falcondale (CEO) and is publicly associated with startup activity (SquareGen, Falcondale and Stafford Computing joint ventures), presenting at Q2B and giving industry interviews—positioning him at the intersection of research, product, and commercial deployment in quantum‑enabled fintech. falcondale+2

Work

Education

Projects

Writing

QML Unlocked: From Curiosity to Capability in Quantum Machine Learning

January 1, 2025

Practical, code‑driven book introducing quantum machine learning concepts, tools and business use cases (published 2025; author: Javier Mancilla Montero).

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Empowering Credit Scoring Systems with Quantum‑Enhanced Machine Learning

January 1, 2024

Preprint describing the Systemic Quantum Score (SQS) and experiments applying quantum kernels to credit scoring problems (authors include Javier Mancilla and Falcondale collaborators).

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Financial Modeling Using Quantum Computing

January 1, 2023

Co‑authored Packt book (2023) covering design and management of quantum machine learning solutions for financial analysis and decision‑making; includes code and practical case studies.

Favicon imagepacktpub.com

Hobbies

Publishes educational pieces and tutorials about quantum computing and QML for practitioners. substack+1