Pauline Hsu

Built SQL pipelines and interactive Power BI dashboards to model, cleanse and visualise 100K+ records of product and marketing data, delivering self-serve reporting that let teams make data-driven advertising decisions. Partnered with marketing and engineering stakeholders to gather reporting requirements and streamline product-catalogue data for 500+ SKUs, maintaining 99% data quality and governa

Developed and backtested quantitative portfolio strategies in Python and R, applying statistical modelling to inform fund managers' asset allocation decisions. Translated complex financial datasets into actionable insights for executive presentations, directly influencing investment strategy adjustments.

Optimised data-cleaning processes for large-scale financial datasets using Excel and Python, maintaining 99% accuracy across internal databases. Translated complex risk data into concise weekly reports for senior management, improving visibility into project progress and supporting timely decisions.

Evaluated and benchmarked leading ESG scoring frameworks (MSCI, FTSE Russell, Sustainalytics) to inform the strategic selection of ETF index components. Synthesised complex ETF operational processes into executive-level presentations, delivering findings directly to the President and Directors.

Master of Data Science and Decisions from the University of New South Wales, focusing on data science and decision-making.

Activities and societies: Outstanding Graduate Student Scholarship

Master of Business Administration with a focus on Financial Engineering and Actuarial Mathematics, awarded Outstanding Graduate Student Scholarship.

Bachelor of Business Administration with a focus on Financial Engineering and Actuarial Mathematics.