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Raquel Filipe

@raquelfilipe

Quantitative analyst at UBS who developed an LLM system for the quant team and automated statistical insights with Python.

United Kingdom

Message

At UBS, I conducted quantitative analysis on equities, produced research for trading strategies, and developed an AI system using an LLM for the quant team. I also automated statistical insights with Python and maintained client reporting and internal dashboards.

Previously, at Redburn, I created analytics tools and contributed to trading strategy optimisation, including work on a machine learning tool for block trades. At Kantar, I developed Python algorithms that reduced data fusion processing time by about 85%; earlier, I studied Dengue virus dynamics through mathematical modelling and computational simulations at the University of Lisbon.

Experience

Work history, roles, and key accomplishments

Algorithms and Analytics Quantitative Analyst - Director

UBS

Oct 2021 - Aug 2026 (4 years 10 months)

Quantitative analysis on equities, generating statistical performance reports and developing AI systems using LLMs. Coordinated a Shanghai-based team and automated statistical insights generation.

Kdb+Python PostgreSQL Tableau Power BI Unix Streamlit AI LLM Risk Management Data Quality Team Coordination

Data Analyst | Execution Analytics team

Redburn

Aug 2019 - Sep 2021 (2 years 1 month)

Generated statistical performance reports for clients and presented at client meetings. Developed analytics tools with Tableau and contributed to trading strategy optimization.

SQL Python Tableau Machine Learning Git Data Analysis Quantitative Research Trading strategies

Data Analyst | Research & Data Science team

Kantar

Dec 2018 - Aug 2019 (8 months)

Performed customer behavior analysis on big data sets and implemented machine learning algorithms for data segmentation. Automated data fusion processes, reducing time by ~85%.

Python Machine Learning Cluster Analysis Big Data Data Analysis Automation