Victoria Zhou

Lead the topic modelling project for global banking.
Analysed information obtained from channels including Slido to provide insights on the focuses of the questions raised.
Worked on a prompt generation project involving instruction tuning LLM so that the model could generate quality questions.
Fed the generated questions into LLM in order to obtain quality answers.
Worked on HSBC’s sustainable finance data framework involving vendor engagement and feasibility analysis.
Analysed data coverage within geography and sector to recommend vendor data acquisition.
Transformed data to form a foundational generic data asset with coverage for HSBC clients.
Created a taxonomy that deduplicated and standardised data points across different vendors.
Pod lead and lead data scientist for developing the sustainable scoring framework for wholesale banking.
Leveraged the ESG data asset to help provide scores across all three pillars including aggregations across sectors and geographies.
Pod lead and lead data scientist for developing the emission extrapolation for wholesale banking.
Built a regression model using public clients’ sustainability information.
Used the model to make predictions for private HSBC clients.

Lead the topic modeling project for global banking. The project involves analyzing information obtained from channels including Slido to help provide insights on what are the focus of the questions raised.

Worked on prompt generation project which involved instruction tuning LLM so that the model could generate quality questions. The questions are then fed into LLM in order to obtain quality answers. The downstream users would be the relationship managers.

Worked on HSBC’s sustainable finance data framework which involved vendor engagement and feasibility analysis, data coverage within geography and sector to recommend vendor data acquisition. This was then analyzed and transformed to form a foundational generic data asset that provided coverage for HSBC clients with a taxonomy that deduplicated and standardized data points across different vendors.

Pod lead and lead data scientist for developing the sustainable scoring framework for wholesale banking. The methodology involves leveraging the ESG data asset to help provide scores across all three pillars including aggregations across sectors and geographies.

Pod lead and lead data scientist for developing the emission extrapolation for wholesale banking.
The project involves building a regression model using public clients’ sustainability information and the model is then utilized to make predictions for private HSBC clients.

Lead the topic modelling project for global banking.
Worked on prompt generation project which involved instruction tuning LLM so that the model could generate quality questions.
Worked on HSBC’s sustainable finance data framework which involved vendor engagement and feasibility analysis.
Pod lead and lead data scientist for developing the sustainable scoring framework for wholesale banking.
Pod lead and lead data scientist for developing the emission extrapolation for wholesale banking.

Built a clustering model to derive user archetypes for HSBC’s clients.
Built a product recommendation extension of the model using an autoencoder-based architecture to recommend the next best product based on cluster product composition.
Worked in collaboration with a consultancy in a large-scale frontline enhancement project.
Built data pipelines in Kedro to have consistent ETLs for feature engineering.
Built a collaborative feature store creating reusable feature assets derived from HSBC’s internal data.
Enabled machine learning models to access quality-controlled data points.
Worked on various EDA-based projects to analyse HSBC’s internal assets.
Developed relevant features for credit risk modelling.
Conducted in-depth sector analysis useful during the pandemic for supply chain risk analysis.
Worked on the automation of HSBC’s KYC program.
Leveraged big data architectures built on Scala and Hadoop frameworks.
Led the 2020 internship program for HSBC with great feedback.
Managed and led micro-intern projects for the year 2021.
Participated and led R&D development days with the team.
Presented learnings in bull sessions across London and Toronto.

Moved from Shanghai, China to Cornwall, UK in Jan 2015.
Prepared applications to different universities for Masters in Law up to Mar 2015.
Made the decision to study Graduate Diploma in Law with BPP in Apr 2015.
Sent numerous applications for Training Contract from Apr 2015 to Sept 2015.

Built clustering model to derive user archetypes for HSBC’s clients.
Built a collaborative feature store that involves creating reusable feature assets derived from HSBC’s internal data.
Worked on various EDA based projects to analyse HSBC’s internal assets.
Worked on the automation of HSBC’s KYC program.
Led the 2020 internship program for HSBC and currently managing and leading micro-intern projects for the year 2021.
Participated and lead R&D development days with the team and present learnings in bull sessions across London and Toronto.