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Data Scientist
Highest degree :
Masters
Field of study :
Data Science
Location :
London
Citizenships :
Chinese
Experience :
2 Year(s)
Countries :
United Kingdom
Gender :
Female
Sectors :
Experience
Data Scientist
London
London Stock Exchange Group
September 2023
-Present
● Evaluated and implemented a Retrieval-Augmented Generation (RAG) system based on GPT models to leverage unstructured financial data. ● Improved system accuracy by 13% with a 94% recall rate through fine-tuning and model enhancements. ● Collaborated in an international, cross-functional team, including direct work with the Microsoft Bing team, to co-develop and deploy the product. ● Authored detailed analysis reports to assess system performance, providing actionable recommendations that guided RAG improvements and adoption. ● Demonstrated strong proficiency with Linux-based systems, including configuration, troubleshooting, and administration across multiple distributions. ● Utilized CI/CD pipelines and GitLab for model deployment, ensuring efficient integration, scalability, and rigorous testing. ● Leveraged Azure, AWS, and Python for large-scale model development, evaluation, and cloud deployment. ● Presented insights to senior stakeholders, directly supporting strategic decisions in the financial sector.
Data Scientist Intern
London
Panmure Gordon
July 2021
-September 2021
Conducted trading data analysis for Sales & Trading, combining market and equities data to provide actionable insights. Maintained and enhanced a Quant system that delivered market trend data to clients, supporting company-level analysis. Automated manual operations reporting processes, significantly reducing production time and improving efficiency. Applied machine learning methods to trading data and leveraged NLP to extract sentiment from financial reports, enabling deeper insights for the Research team. Utilized SQL and Yield Book to extract, analyze, and visualize trading data for trend analysis and reporting.
Education
University of Leeds
Leeds
Math School
January 2021
-March 2022
Awards & Certificates
Financial Risk Management
London
GARP
2025
Data Science for Invetsment
London
CFA Institution
2024
Large Language Models for Business with Python
London
Stanford Online
2024
Languages