José De Miranda Cardoso
Quantitative Trader
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolJosé De Miranda Cardoso is a quantitative trader based in Hong Kong with a decade of experience building and optimizing systematic equity strategies and high-touch liquidity provision across APAC markets. He blends hands-on trading—portfolio construction, block trading, and market making—with a strong open-source engineering background, contributing to well-known scientific Python libraries such as scikit-optimize, SciPy and Astropy (including core work on jackknife resampling and PSF photometry). His career spans top-tier firms and research institutions, from Morgan Stanley and Merrill Lynch to NASA Ames and NIST, reflecting a rare combination of production trading expertise and scientific software craftsmanship. José’s work often bridges research and production: improving optimizer internals and statistical tools that underpin robust signal design and risk-managed execution.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering Electrical Engineering, Bachelor of Engineering Electrical Engineering at Universidade Federal de Campina GrandeVisiting Student Electronic Engineering and Computer Science, Visiting Student Electronic Engineering and Computer Science at University of MarylandVisiting Student Electronic Engineering and Computer Science, Visiting Student Electronic Engineering and Computer Science at The Catholic University of AmericaHong Kong University of Science and Technology (HKUST)
English, Portuguese
Stackoverflow
31reputation
16kreached
1answer
0questions
Github Skills (24)
algorithms10
scipy10
python10
astronomy10
scikit10
statistics10
machine-learning10
astrophysics10
photogrammetry10
numpy10
hyperparameter-optimization10
astropy10
bayesian10
optimisation10
scikit-learn10
Programming languages (15)
Github contributions (5)
astropy/astropy
Jan 2016 - Jul 2021
Astronomy and astrophysics core library
Role in this project:
Data Scientist
Data ScientistContributions:140 commits, 28 PRs, 273 comments in 5 years 7 months
Contributions summary:José's commits primarily focus on implementing and refining the "jackknife" resampling method within the `astropy.stats` module. They contributed a new function to perform jackknife resampling on numpy arrays, along with associated statistical estimations such as bias, standard error, and confidence intervals. The contributions involved adding a new module, writing relevant tests, and integrating it with the existing codebase by updating the documentation, examples and changelog.
astrologypythonscienceastrophysicsastrodynamics
astropy/photutils
Mar 2016 - Jan 2018
Astropy package for source detection and photometry. Maintainer: @larrybradley
Role in this project:Backend Developer
Backend DeveloperContributions:162 commits, 34 PRs, 210 comments in 1 year 10 months
Contributions summary:José primarily contributed to the `photutils` package, specifically focusing on implementing and refining point spread function (PSF) photometry functionality. The user's work included fixing typos in documentation and applying suggestions from other contributors. The user made changes to existing core files and created a new module for PSF. These activities indicate a focus on expanding and improving the functionality of the package.
photometrypythonsource-detectionastrophysicsastropy-affiliated
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