Binbin Wan

Ensured 100% data integrity for 2M+ liquidity-related records, supporting senior managers’ market risk assessments and strategic decisions. Automated global financial metric tracking with VBA and Power BI, reducing reporting cycles by 40%, and improved data reconciliation to reduce exception rates by addressing recurring mismatches affecting ~5–10% of sampled records.

Performed variance analysis on £1M+ infrastructure project budgets and applied regression models (Stata/Python) to assess relationships between infrastructure investment and business activity. Reviewed and validated 500+ monthly vendor transactions, built weekly budget trackers and reports, and mapped end-to-end workflows to improve coordination across project teams and government stakeholders.

Activities and societies: Urban Mobility Data Analysis project (bilingual surveys/interviews; Maptionnaire) and final qualitative + secondary data analysis on night-time economy and women’s safety in Shanghai.

Completed an MSc in Urban Economics and Development, covering courses such as Managing the City Economy, Urbanisation and Development, and Public Economics. Conducted mobility/transport field research in Mérida, Mexico and a final project on the impact of Shanghai’s night-time economy on women’s safety and gender-sensitive urban governance.

Activities and societies: Key modules: Managing the City Economy; Urbanisation and Development; Public Economics. Urban Mobility Data Analysis project: field research in Mérida, Mexico using bilingual surveys, interviews, and Maptionnaire to study mobility/transport access and housing-related displacement. Final Project: qualitative analysis and secondary urban data on Shanghai’s night-time economy and women’s safety and gender-sensitive urban governance.

Completed an MSc in Urban Economics and Development with coursework in city economics, urbanisation and development, and public economics. Delivered research projects using qualitative and secondary urban data, including analysis of urban mobility and women’s safety in Shanghai’s night-time economy.

Activities and societies: Final project: regression-based empirical study in Stata/Python using real UK datasets on housing prices or local economic activity.

Earned a BSc in Economics and Finance with modules including Microeconomics, Macroeconomics, Financial Derivatives, and Financial Risk Management. Completed a regression-based final project using Stata/Python and real UK datasets to study how urban development/infrastructure/economic conditions relate to housing prices or local economic activity.

Activities and societies: Key modules: Microeconomics; Macroeconomics; Financial Derivatives; Financial Risk Management. Final Project: regression-based empirical study on how urban development/infrastructure/economic conditions affect housing prices or local economic activity (Stata/Python, real UK datasets).

Earned a BSc in Economics and Finance with training in microeconomics, macroeconomics, financial derivatives, and financial risk management. Completed a regression-based final project using Stata/Python and UK datasets to examine how urban development and infrastructure relate to housing prices or local economic activity.