I’m Ethan Wei, an AI researcher and software engineer with a strong foundation in quantitative finance and hands-on experience building production-ready systems in fintech. My work spans Bayesian optimisation for algorithmic trading, backend engineering in a Django REST Framework, and the design of robust, scalable pipelines that connect research workflows to real users and real products. Recently I've worked in developing and refining machine-learning-driven trading strategies, shaping optimisation frameworks, and engineering the infrastructure that supports them. Whether it’s reworking an optimisation loop, crafting objective-function logic, or shipping backend features in Python and Django, I focus on creating systems that are reliable, interpretable, and deployable. I thrive in collaborative environments, working closely with engineers, quants, and product teams to bring research ideas into production and ensure technical decisions directly support business goals.

Ethan Wei

I’m Ethan Wei, an AI researcher and software engineer with a strong foundation in quantitative finance and hands-on experience building production-ready systems in fintech. My work spans Bayesian optimisation for algorithmic trading, backend engineering in a Django REST Framework, and the design of robust, scalable pipelines that connect research workflows to real users and real products. Recently I've worked in developing and refining machine-learning-driven trading strategies, shaping optimisation frameworks, and engineering the infrastructure that supports them. Whether it’s reworking an optimisation loop, crafting objective-function logic, or shipping backend features in Python and Django, I focus on creating systems that are reliable, interpretable, and deployable. I thrive in collaborative environments, working closely with engineers, quants, and product teams to bring research ideas into production and ensure technical decisions directly support business goals.

Available to hire

I’m Ethan Wei, an AI researcher and software engineer with a strong foundation in quantitative finance and hands-on experience building production-ready systems in fintech. My work spans Bayesian optimisation for algorithmic trading, backend engineering in a Django REST Framework, and the design of robust, scalable pipelines that connect research workflows to real users and real products.

Recently I’ve worked in developing and refining machine-learning-driven trading strategies, shaping optimisation frameworks, and engineering the infrastructure that supports them. Whether it’s reworking an optimisation loop, crafting objective-function logic, or shipping backend features in Python and Django, I focus on creating systems that are reliable, interpretable, and deployable.

I thrive in collaborative environments, working closely with engineers, quants, and product teams to bring research ideas into production and ensure technical decisions directly support business goals.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

AI Researcher at Stratiphy
February 1, 2025 - December 1, 2025
Led Bayesian optimization research using scikit-optimize to refine parameter bounds and objective functions for three momentum-based algorithmic trading strategies across low/medium/high-risk profiles.
AI Coding Trainer at Outlier
September 1, 2024 - December 1, 2024
Enhanced large language models by reviewing and refining generated code responses for improved quality and accuracy. Performed quality checks to ensure programming tasks meet standards for accuracy, clarity, and consistency. Mastered new libraries swiftly to validate code functionality and align with API documentation.
Research/Project at Baboon Technologies
January 20, 2024 - May 20, 2024
Developed an automated Python-based trading strategy leveraging mean reversion principles to model cryptocurrency price movements.

Education

MSc Fintech and Business Analytics at EADA Business School, Barcelona, Spain
October 1, 2023 - November 1, 2024
BSc (Hons) Investment and Financial Risk Management at City, University of London, London, UK
September 1, 2018 - June 1, 2021

Qualifications

Bloomberg Market Concepts
January 1, 2021 - February 1, 2021
Data Science and Machine Learning Vocational Course
February 1, 2023 - June 1, 2023

Industry Experience

Financial Services, Software & Internet, Professional Services, Education