Jacques Joubert
Quantitative Researcher & Developer
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Summary
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Rockstar🎓
Top SchoolJacques Joubert is a quantitative researcher and developer with 10 years of experience building algorithmic trading systems and machine learning models for institutional investors. Currently at ADIA and an associate at ADIA Lab, he brings a blend of hands-on research and production engineering honed as co-founder and lead engineer at a London quant startup and as a systematic trader at Shell. His work spans alpha design, ML-driven signal generation, and deploying robust, low-latency strategies, backed by an MS in Financial Engineering from WorldQuant University. Comfortable bridging academia and industry, he has taught and developed courses on ML in trading and often translates complex statistical ideas into production-ready code. Based in Abu Dhabi, he pairs entrepreneurial instincts with institutional rigor, often focusing on practical model interpretability and implementation risks that are easy to overlook.
10 years of coding experience
9 years of employment as a software developer
Master of Science in Financial Engineering Alpha Design & Machine Learning, Master of Science in Financial Engineering Alpha Design & Machine Learning at WorldQuant UniversityMatriculation, Matriculation at Paul Roos Gymnasium Old Boys UnionBcom Financial Management, Bcom Financial Management at University of Pretoria
Stackoverflow
153reputation
8kreached
2answers
1question
Github Skills (59)
prediction-model10
python10
financial-data10
trading10
statistical-learning10
finance10
machine-learning10
stochastic-processes10
quantitative-finance10
algorithmic-trading10
quantitative9
trading-algorithms9
stock-data9
financial9
trading-bot9
Programming languages (4)
Github contributions (5)
rydeen7/presentations
Feb 2019 - Apr 2020
Slide show presentations regarding data driven investing.
Contributions:27 commits in 1 year 2 months
data-drivenslide-showslideinvesting
hudson-and-thames/mlfinlab
Aug 2021 - Aug 2021
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Contributions:1 review, 2 commits, 181 PRs in 1 day
pythonportfolio-optimizationlearning-byfinanceinterpretable
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